Interclass Collision Protection for IEEE e Wireless LANs

Size: px
Start display at page:

Download "Interclass Collision Protection for IEEE e Wireless LANs"

Transcription

1 Interclass Collson Protecton for IEEE 82.e Wreless LANs Woon Sun Cho, Chae Y. Lee Dstrbuted Coordnaton Functon (DCF) n IEEE 82. and Enhanced Dstrbuted Channel Access (EDCA) n IEEE 82.e are contenton-based access mechansm n wreless LAN. Both DCF and EDCA reduce collsons based on nter-frame space (IFS) and backoff mechansms. However, collsons are unavodable even wth the two mechansms. Especally, n the EDCA, collsons can be classfed nto nterclass and ntra-class collson. To elmnate nterclass collson n wreless LAN, we propose an nterclass collson protecton (ICP) scheme by employng collson protecton perod (CPP) after backoff. Dfferent number of backoff tmeslots s nserted to each class. Hgher class statons are allowed to transmt before lower class statons end backoff perod. Analyss s performed wth one dmensonal dscrete-tme markov chan for the EDCA and proposed ICP-based EDCA. Collson probablty and throughput of each channel access s examned. Throughput ncrease s more than doubled wth reduced collson probablty when the system s saturated. Keywords: wreless LAN, EDCA, nterclass collson, orthogonal backoff sgnal, markov chan I. Introducton Wreless local area network (WLAN) s rapdly growng due to technologcal development n supportng moblty. The last few years have seen growth n the nstallaton of access ponts (APs) based on IEEE 82. WLAN [] to support data communcatons. Its advantages are low cost and smple deployment. Wth the ncreasng expectaton of voce over Internet Protocol (VoIP), WLAN looks forward to provdng real-tme servce n addton to data servce. However, IEEE 82. WLAN s below the level of qualty of servce (QoS) requrements to provde real-tme servces [3]. To support QoS requrements n medum access control (MAC) level, the standardzaton commttee has proposed IEEE 82.e [2]. The IEEE 82.e MAC protocol employs a hybrd coordnaton functon (HCF) that ncludes enhanced dstrbuted channel access (EDCA). Although the EDCA provdes dfferent QoS for each class by dfferentatng the nterframe space and contenton wndow sze, system performance cannot provde pertnent QoS for voce servce. Ths s because the number of collsons ncreases wth the number of contendng statons. That s, collsons are stll an mpedment because EDCA s a contenton-based mechansm

2 analogous to DCF. The DCF and EDCA mplement a bnary exponental backoff by ncreasng the contenton wndow sze exponentally for each transmsson falure n order to reduce collsons. However, n certan stuatons, ths exponental backoff causes unnecessary dle duraton such that the channel s utlzed neffcently. Due to the aforementoned facts, t s well known that the throughput performance gets severely compromsed when the number of contendng statons ncreases [4, 5, 6]. The performance degradaton due to collsons becomes more severe as the frame sze ncreases snce the bandwdth waste by collsons becomes relatvely large. Moreover, retransmssons due to collsons waste communcaton energy, thus reducng the lfetme of batterypowered wreless devces. In ths paper, we propose a novel contenton-based MAC model by enhancng the 82.e EDCA, followed by analyss. Our motvaton s that nterclass collson can be elmnated by suppressng the transmsson of lower class statons. A collson occurs when two or more statons transmt smultaneously. When a collson occurs among statons n the same class, t s hard to select a staton to transmt because all statons have equvalent transmsson prorty. On the other hand, n the case of nterclass collson, class prorty can play a role of dfferent transmsson opportunty wth each staton. That s, f a staton n the hghest class prorty has transmsson opportunty, nterclass collson does not occur. The proposed contenton-based MAC s nterclass collson protecton (ICP) model. In the ICP, each staton recognzes the class of other statons whch transmt smultaneously by use of control sgnal and only the hghest class staton s allowed to transmt. The remander of ths paper s organzed as follows. Secton II ntroduces IEEE 82.e EDCA and a sgnal-based collson avodance scheme. In Secton III, we present the basc dea and operaton of ICP. Throughput analyss s presented n Secton IV wth numercal results n Secton V. Fnally, Secton VI concludes the paper. II. Related Works. IEEE 82.e EDCA EDCA s desgned to enhance the DCF mechansm by supportng servce dfferentaton among categores and dstrbutng these categores n the channel access. EDCA conssts of four access categores (ACs). Each AC has dfferent prorty wth dfferent ntal contenton wndow sze (CW,mn ), maxmum contenton wndow sze (CW,max ) and arbtraton nterframe space (AIFS ). Dfferent parameter settngs play a role of gvng hgher AC more statstcal opportunty to access the channel. That s, f a class sets smaller parameters than other classes, statons of the class has a better chance to access the wreless medum. The basc operaton of EDCA s smlar to IEEE 82. DCF. If a staton of AC has a frame to transmt, t checks the 2

3 medum status for dleness. If the medum s sensed to be dle, the staton mmedately proceeds wth ts transmsson after watng AIFS. If the medum s sensed to be busy, the staton defers ts access untl the medum s determned to be dle for AIFS nterval, and then t starts a backoff procedure. A backoff procedure starts by settng ts own backoff tmer by unformly choosng a random value from the range [, CW,j -], where CW,j s the current contenton wndow sze, and determned by AC and backoff stage j. It s an nteger value wthn the range of CW,mn and CW,max. Backoff stage s defned as the number of retransmssons n a staton. The backoff counter s decreased by a slot tme as long as the channel s sensed dle, whle t s frozen when the channel s sensed busy. The backoff counter count-down s resumed after the channel s sensed to be dle for a AIFS nterval. When the backoff counter reaches zero, the staton starts ts data frame transmsson. If the source successfully receves an acknowledgment (ACK) frame after a short nter-frame space (SIFS) dle perod, the transmsson s assumed to be successful. After a successful transmsson, the source resets ts contenton wndow to the mnmum value CW,mn, and performs another backoff process rrespectve of whether t has another frame to transmt or not. It prevents a staton from performng consecutve mmedate access. On the other hand, f a frame transmsson fals, the CW,j s ncreased by CW,j+ wth the maxmum value CW,max. The staton attempts to transmt the frame agan by recalculatng a backoff counter value from contenton wndow ncrease, CW,j+. After the number of falures reaches a retry lmt, the staton drops the frame. The CW,j for prorty class n backoff stage j s determned as follows [5]. j σcw,, for j =,, L, m, f R> m m CW j, = σ CW, = CW,max, for j = m, m +, L,R, f R> m j σcw,, for j =,, L,R, f R m () where σ s the contenton wndow (CW) ncreasng factor of class (for example, the ncreasng factor of DCF s 2), and CW,mn and CW,max are mnmum and maxmum CW sze of class. R s the retry lmt of class m = log ( CW / CW ). Backoff and σ,max,mn perod s randomly chosen n the range of [, CW,j -]. The AIFS s appled to acheve dfferentaton of each class. The AIFS for a gven AC s determned by the followng equaton. AIFS = SIFS + AIFSN δ (2) where AIFSN s AIFS Number of th AC (AC ) determned by the AC and physcal settng of IEEE 82.e standardzaton [2]. δ s the duraton of a tme slot. The AC wth the smallest AIFS has the hghest prorty. 2. Sgnal Based Collson Avodance A collson occurs when two or more statons transmt data smultaneously on the same channel. IEEE 82. standardzaton [] proposed DCF based on carrer sensng 3

4 multple access wth collson avodance (CSMA/CA) mechansm. The CSMA/CA utlzes the random backoff pror to each frame transmsson attempt. Whle the random backoff can reduce the collson probablty, t cannot completely elmnate the collsons snce two or more statons can fnsh ther backoff procedures smultaneously. Thus the collson s unavodable n a dstrbuted system, even f the hdden termnal problem can be solved wth the Request-To-Send (RTS) and Clear- To-Send (CTS) messages. The DCF mplements a bnary exponental backoff by ncreasng the contenton wndow sze exponentally for each transmsson falure n order to reduce consecutve collsons. However, the performance degradaton due to the collsons becomes more severe as the number of contendng staton ncreases. Many lteratures have studed the method of reducng collson n WLAN [6, 7, 8, 9]. Especally, collson avodance by use of a dummy sgnal acheves practcal results. Blackburst (BB) contenton scheme [7] and busy tone multple access (BTMA) [9] s representatve of a sgnal based collson avodance scheme. Ⅲ. Interclass Collson Protecton. Basc dea of ICP In the enhanced MAC, any collson among ACs n a staton can be handled by a vrtual collson handler. However, the vrtual collson handler cannot elmnate the nterclass collson among statons. The purpose of ICP s the elmnaton of nterclass collson wth an approprate collson protecton perod after the backoff. Fgure (a) llustrates the case of nterclass collson n EDCA. Under EDCA, nterclass collson occurs when the backoff perod of two or more statons belongng to dfferent AC ends smultaneously. Ths nterclass collson can be avoded by usng a control scheme that grants a preferental transmsson rght to the hghest prorty staton among statons of collson as n Fgure (b). The control scheme guarantees to grant greater channel access prorty to the hgher class staton by usng collson protecton perod (CPP). CPP s an extra perod whch s nserted at the end of a backoff perod of each staton. By usng the CPP, only the hghest class staton transmts when backoff perods of dfferent class statons fnsh smultaneously. That s, the hghest class staton transmts a frame and others wat untl the channel s dle. CPP follows a sgnal based collson avodance scheme. CPP uses a specal sgnal to protect nterclass collson, named orthogonal backoff sgnal (OB sgnal). OB sgnal s defned as a busy sgnal that has no effect on any other sgnal to guarantee orthogonalty. It s a busy tone to nform all other statons that the channel s busy as n [9]. For example, let staton A transmt OB sgnal when staton B transmts a data sgnal to staton C and all statons are located n nterference range. In a casual stuaton, a collson occurs because staton C receves sgnal from both statons A and B 4

5 (a) Interclass collson n EDCA (b) ICP-based EDCA Fgure EDCA vs. ICP-based EDCA Fgure 2 Basc operaton of ICP n four-class model smultaneously. transmt orthogonal backoff sgnal. However, by the defnton of OB sgnal, the Orthogonal tmeslot performs two roles. sgnal of staton A does not affect the sgnal Frst, the hghest AC staton transmts ts data of staton B, so staton C s able to receve the when nterclass collson has occurred. It s sgnal of staton B. deeply related to the defnton of OB sgnal. CPP conssts of two elements; backoff Whle lower class statons transmt OB sgnal, tmeslot and orthogonal tmeslot as n Fgure the hghest class staton transmts data sgnal 2. Backoff tmeslot proceeds as a tmeslot of wth no nterference. Second, when the backoff perod. In other words, each backoff backoff perod of lower AC staton fnshes tmeslot checks whether the channel s busy earler than hgher ACs, OB sgnal from the or not. If the channel s dle at the last lower class staton occupes the channel and backoff tmeslot, a staton transmts at the the hgher class statons backoff counter next tmeslot. Otherwse, a staton freezes ts freezes untl the channel s dle agan. backoff perod untl the channel becomes dle. Fgure 2 llustrates the ICP of each class. Orthogonal tmeslot s the tmeslot to CPP s nserted after the backoff perod. To 5

6 prevent nterclass collson, each AC has dfferent tme duraton of CPP. Let the total number of AC be N and AC, =,,N has hgher prorty than AC +. CPP of the hghest AC (AC ) does not have an addtonal tmeslot. The hghest class staton transmts data wthout addtonal delay. CPP of AC conssts of one orthogonal tmeslot and backoff tmeslots. Dfferent number of CPP backoff tmeslots allows hgher class statons to transmt before lower class statons end backoff perod. 2. ICP procedure Fgure 3 llustrates the flow dagram of ICP. ICP procedure s smlar to IEEE 82.e EDCA, but ICP adopts the concept of vrtual collson. Vrtual collson occurs when the backoff counters of nterclass statons fnsh smultaneously. Vrtual collson follows the concept of nterclass collson n EDCA. In ICP, when vrtual collson occurs, the hghest class staton transmts, and lower class statons wat untl the hghest staton fnshes transmsson and restarts backoff procedure wthout ncreasng the CW sze. In ths case, a new backoff counter must be provded to lower class statons because the backoff counter of lower class statons has ended. The new backoff counter s calculated on the same backoff stage. It gves lower prorty class statons more transmsson opportunty than n EDCA. In EDCA, when collson occurs, the contenton wndow sze doubles n the backoff procedure by ncreasng backoff stage. The bgger contenton wndow sze causes a larger backoff counter and the staton whch gets the larger backoff counter needs more watng tme to transmt. Therefore, ICP effcently reduces watng tme by not ncreasng the backoff stage when vrtual collson occurs. Fgure 4 shows how ICP avods nterclass collson. In the fgure, staton s AC, staton 2 s AC 2, staton 3 s AC 3, and staton 4 s AC 4. Fgure 4 (a) shows the case of the hghest class staton (staton ) transmttng when the backoff perod of every staton fnshes smultaneously. After the backoff perod, staton transmts the data sgnal and others transmt orthogonal backoff sgnal. The recevng staton or AP receves the data sgnal of staton wth no nterference by the 6

7 Frame Transmsson Calculate Backoff Frame preparaton Lsten to the channel Wat for IFS Free? Free? Wat for IFS Decrease Backoff counter Lsten to the channel End of Backoff? Hghest Class? Wat for Orthogonal Tmeslot Free? Increase Backoff stage Decrease Backoff tmeslot End of CPP? Collson? Maxmum retransmsson? Intate Transmsson Ack Receved? Transmsson Complete Transmsson falure Fgure 3 Flow dagram of ICP defnton of orthogonal backoff sgnal. After the orthogonal tmeslot, lower class statons sense the busy channel and recognze the occurrence of vrtual collson and freeze backoff counter untl the channel s dle. Fgure 4 (b) shows the data transmsson by staton 3 when the vrtual collson s caused by statons 3 and 4. For staton 3 to transmt data sgnal, hgher class statons should have remanng backoff tmeslot when 7

8 backoff perod of staton 3 s fnshed. In the fgure, backoff perod of statons and 2 are not fnshed when staton 3 fnshes ts backoff perod. After the last backoff tmeslot, staton 3 transmts an orthogonal backoff sgnal and the remanng backoff tmeslot of hgher class statons are frozen untl channel s dle. In the fgure, staton 4 has a lower class prorty than staton 3, so the number of CPP backoff tmeslot s more than that of staton 3. By the dfferent number of backoff tmeslots, staton 3 transmts before staton 4 fnshes CPP. Therefore, staton 3 transmts and other statons freeze ther backoff perod untl the medum s dle. Ⅳ. Analytcal Model and Throughput Analyss The analytcal model of IEEE 82. DCF proposed by Banch [4] and Banch and Tnnrello [] becomes a motvaton for numerous analyses of 82. DCF and IEEE 82.e EDCA. The man framework of the analytcal model s two dmensonal Markov Chan (MC) organzed by backoff counter (a) Transmsson by Class staton (b) Transmsson by Class 3 staton Fgure 4 Examples of ICP 8

9 and backoff stage. Ths two dmensonal MC s smplfed to one dmensonal MC [] by separatng the backoff stage and backoff counter.. IEEE 82.e EDCA model To analyze the performance of IEEE82.e EDCA wth one dmensonal MC, we assume that statons transmt n deal condton wth no errors n the channel and no hdden statons. Also, we assume that the channel s saturated and collson probablty of a transmtted packet s constant and ndependent of the retransmssons. Let τ, that s P(TX ), be the probablty that a staton of AC, s transmttng a frame n a tmeslot. Also, let P(s =j) be the probablty that a staton of AC s n backoff stage j. Then, we can obtan Equaton (3) by the defnton of condtonal probablty. P( s = j, TX ) = P( TX ) P( s = j TX ) = P( s = j) P( TX s = j) (, L, N), j (, L, R ) (3) By Equaton (3), P(s =j) can be represented as follows. P( s = j TX) Ps ( = j) = PTX ( ), P ( TX s = j ) (, L, N), j (, L, R ) (4) Because a staton of AC transmts a data frame n stage j, j, L, R ) wth R j= ( Ps ( = j) =, (, L, N), we can obtan transmsson probablty τ as follows. τ = PTX ( ) =, R P( s = j TX) P( TX s = j) j= (, L, N ) (5) In Equaton (5), τ s computed wth the sum of P(s =j TX ) and P(TX s =j). P(s =j TX ) represents the probablty that a staton of AC beng transmttng s found n stage j. Ths probablty s the steady state probablty of a dscrete-tme Markov chan s (k), descrbng the backoff stage durng the staton s transmsson nstant k, whose non-null one-step transton probablty s gven as n Equaton (6). P( s( k + ) = j s( k) = j ) = p P( s( k + ) = s( k) = j) = p Ps ( ( k+ ) = s( k) = R) = j=, L, R j=, L, R j= R (6) where the condtonal collson probablty p s the collson probablty when the packet s transmtted on the channel. From (6) we can get P(s =j TX ). ( p ) j = jtx = R p + Ps ( ) (, L, N), j (, L, R ) (7) P(TX s =j) n Equaton (5) s the probablty that a staton of AC transmts a frame n backoff stage j. From [], gven backoff stage j, P(TX s =j) s obtaned by dvdng the average number of slots spent by the staton durng the nterval of ts backoff counter whch s called a cycle. PTX ( s = j) =, (, L, N), j (, L, R ) + α + Eb [ ] j (8) E[b j ] s the average value of the backoff counter extracted by a staton of AC enterng stage j. α s the dfference between mnmum AIFS (AIFS ) and AIFS. It s used to compensate the dfference of AIFS of each p 9

10 class. Namely, f all statons have the same length of IFS, whch s same as the sze of AIFS n EDCA, we can thnk of the staton of AC as havng addtonal tmeslots, the sze of α, durng one cycle. By dong ths, the IFS mechansm of DCF enhances AIFS mechansm of EDCA wthout loss. Substtutng Equaton (7) and (8) nto (5), t can be wrtten as. τ = PTX ( ) = =, [ ] R R Ps ( = j TX) p j + α + peb R + j j= PTX ( s = j) p j= (, L, N), j (, L, R ) (9) When a staton of AC transmts, a collson occurs f one or more statons transmt nto the medum. It s the same as the defnton of p, and t s represented as follows. n = h h nh p ( τ ) ( τ ) (, L, N) () where n denotes the number of statons of class. only appled to lower class statons. The hghest class staton transmts frames n vrtual collson, but lower class statons precede new backoff procedure n the same backoff stage. In ICP-based EDCA model, P(s =j TX ) s gven as n Equaton () wth transton dagram n Fgure 5. P( s ( k + ) = j s ( k) = j ) = p P( s ( k + ) = s ( k) = j) = p P( s ( k + ) = s ( k) = R ) = P( s ( k + ) = j s ( k) = j) = q j =,..., R j =,..., R j = R j =,..., R () where q s the vrtual collson probablty. From () we can get P(s =j TX ). p p q q Ps ( = jtx ) =, R + p q (, L, N), j (, L, R ) (2) P(TX s =j) s the same as the EDCA model n Equaton (8). From Equaton (5), (8), and (2) τ s obtaned as follows. j 2. ICP-based EDCA Model Fgure 5 Transton dagram of P(s =j TX ) of ICP An analytcal model of ICP s an enhanced verson of the EDCA model. The major dfference between ICP and EDCA s vrtual collson. As explaned n Secton Ⅲ. 2, the vrtual collson occurs when backoff perod of nterclass statons fnshes smultaneously. Actually, vrtual collson probablty s the probablty τ = PTX ( ) = =, R Ps ( = j TX) p R j ( ) j PTX s j = q p α R + p j= q = + + E[ bj] q (, L, N), j (, L, R ) (3) In ICP, all actual collsons are ntraclass collsons, snce all nterclass collsons are elmnated by usng CPP. Namely, the actual collson occurs n AC when the backoff perod of two or more statons of the same AC end smultaneously but no hgher class staton ends at the same tme. Therefore, the collson probablty s calculated as, n ( τ ) nh p = ( ) ( τh), (, L, N) (4) h

11 Also, the vrtual collson probablty s computed as n ( ) nh q =, q = ( τ) ( ( τh) ), (, L, N) (5) Equaton (3), (4), and (5) form a nonlnear system wth the same number of varables and equatons. Ths system can be solved by utlzng a numercal method whch has a unque soluton n the range of τ, p, q [,] for (, L, N). 3. Throughput analyss Let the probablty p S, and p C, be successful transmsson and collson probablty of AC respectvely. Also, let p b be the busy channel probablty. Then, we have n nh S, = ( ) ( h) h= p nτ τ τ, (, L, N) (6) nn ( ) p τ τ τ 2 n 2 nh C, = ( ) ( h) 2 h= N b = S, + C, = h, (, L, N) (7) p ( p p ), (, L, N) (8) Let S denote the normalzed throughput of AC. Then the throughput S s gven as follows. E(payload transmsson tme n a slot tme for the class ) S = E(length of a slot tme) p T =, (, L, N) ( p ) + p T + p T S, E( L) N b δ S S C C = (,,,, ) (9) δ, T E(L), T S,, and T C, n the above equaton denote the duraton of empty tmeslot, the tme to transmt an average payload, the average transmsson tme of AC, and the average collson tme of AC, respectvely. T S, and T C, are calculated as TS, = H + TE[ L] + SIFS + ACK + AIFS TS, = H + TEL [ ] + SIFS + ACK + AIFS + ( + ) δ, (2, L, N ) (2) TC, = H + TE[ L*] + E( IFS) TC, = H + TE[ L*] + E( IFS) + E( N, retry) δ, (2, L, N ) (2) If a transmsson successfully ends (or colldes), T S, (or T C, ) requres extra tme to process CPP compared to EDCA model. To get the average collson tme, we need to know the average number of retres, E(N,retry ), whch s gven as j( p + q ) ( p q ), R j retry, = R + j= ( p + q) EN [ ] (, L, N) (22) Ⅴ. Numercal Results We examne system performance through two scenaros. Scenaro llustrates throughput varaton by ncreasng the total number of statons from one to 4. Each staton generates traffcs n four dfferent classes. Scenaro 2 llustrates throughput varaton by ncreasng the number of statons of one class. We fx the total number of statons n the system to 6 whch s consdered to be suffcently saturated. The computatonal result s based on IEEE 82.b [4] and IEEE 82.e

12 Table Smulaton parameters for IEEE 82.b Parameter Value SIFS μsec DIFS 5 μsec Slot tme 2 μsec apreamblelength 44 μsec aplcpheaderlength 48 μsec SIFS μsec Data transmsson Mbps ACK transmsson 2 Mbps acwmn 64 acwmax 256 Retry lmts {4, 7,, 4} Table 2 EDCA Parameter settngs Access CW mn CW max AIFSN AC_BK (AC 4 ) acwmn acwmax 7 AC_BE (AC 3 ) acwmn acwmax 3 AC_VI (AC 2 ) acwmn/2 acwmn 2 AC_VO (AC ) acwmn/4 acwmn/2 2 standard [2]. The parameters are shown n Table and 2. To compare the performance, IEEE 82.e EDCA and ICP are solved wth MATLAB programmed numercal method, whch s executed at 3. GHz CPU. Fgure 6 shows the result of Scenaro. The throughput gven by IEEE 82.e EDCA s also compared wth ICP. The fgure shows the mprovement of total throughput by the ICP model through ntraclass collson elmnaton. The ncrease of total throughput s more than doubled when the number of statons n each class exceeds 2. Fgure 7 shows the dfference of collson probablty between EDCA and ICP. The collson probablty by ICP s reduced by more than 2% as the channel congeston ncreases. Fgure 6 and 7 clearly show that total throughput and collson probablty are closely related and they are nversely proportonal. In ICP, the most porton of throughput mprovement s contrbuted by AC. It s because ICP provdes hgher prorty to the hghest class when vrtual collson occurs. Another mportant pont proven by the fgures s that the throughput 2

13 mprovement of AC does not degrade that of the lower class. Fgure 8 and 9 llustrate Scenaro 2. All fgures show total throughput mprovement of ICP compared to EDCA. A large porton of total throughput mprovement occurs n AC whle the throughput of other classes mantans the level of EDCA. It s because ICP enhances system performance by elmnatng nterclass collson and provdes more prorty to AC than other classes. Fgure 8 shows an ncrease n the number of statons of AC whle the total number of statons s fxed at 6. The number of statons of AC ranges [3, 57] as multples of three. In each case the remanng statons are equally dstrbuted nto three other classes. In the Fgure, when the number of statons of AC s smaller than, the throughput of AC ncreases wth the number of AC statons, but the total throughput s decreased by the loss of lower class throughputs. When the number of AC statons s greater than, total throughput s decreased by excessve congeston. Moreover, throughput n Fgure 8 s not better than that n Fgure 6, even f the total number of statons n Fgure 8 s smaller than Fgure 6. The reason s that the ncrease of collson and vrtual collson s serously affected by the number of statons of AC rather than the total number of statons. It s also related to the contenton wndow sze n Table 2, the contenton wndow sze of AC s the smallest. A small contenton wndow sze guarantees large transmsson opportunty, but causes extra collsons when the number of AC statons ncreases. Fgure 9 shows an ncrease n the number of statons of AC 2 whle the total number of statons s fxed at 6. Dfferently from Fgure 8 total throughput n Fgure 9 mantans almost same level. In the fgure, throughput of AC by ICP and EDCA shows dfferent movements. In ICP, when AC 2 s smaller than 45, the throughput mantans about.35 regardless of the change n the number of statons, whereas, throughput of EDCA s decreased accordng to the rmalzed throughput AC e AC2 e AC3 e AC4 e total e AC ICP AC2 ICP AC3 ICP AC4 ICP total ICP Number of statons Fgure 6 rmalzed throughput 3

14 .9 Collson probablty 82.e Collson probablty ICP.8.7 probablty Number of statons Fgure 7 Collson probablty rmalzed throughput AC e AC2 e AC3 e AC4 e total e AC ICP AC2 ICP AC3 ICP AC4 ICP total ICP Number of statons of AC Fgure 8 Throughput varaton by change of AC rmalzed throughput AC e AC2 e AC3 e AC4 e total e AC ICP AC2 ICP AC3 ICP AC4 ICP total ICP Number of statons of AC2 Fgure 9 Throughput varaton by change of AC 2 4

15 ncreasng number of statons of AC 2. It s because ICP provdes the hghest class wth more prorty to transmt than EDCA. Ⅵ. Concluson In ths paper, we have proposed a novel dstrbuted contenton-based MAC based on IEEE 82.e and analyzed the model through analytcal model. To elmnate nterclass collson, we have proposed the collson protecton perod. When backoff perod of two or more nterclass statons fnsh smultaneously, the hghest staton transmts and the others wat untl the next dle perod. We have made an analytcal model of ICP and compared t wth IEEE 82.e EDCA. The numercal results show that the ICP model can provde better performance compared to the exstng EDCA model. The proposed collson protecton scheme based on the orthogonal backoff sgnals ncreases overall throughput wthout degradng the performance of lower classes. The ncrease of throughput by the proposed ICP model s more than doubled compared to the EDCA model, when the number of statons n each class exceeds 2. Also, the collson probablty by ICP s reduced by more than 2% as the channel congeston ncreases. VII. References [] IEEE 82., Part : Wreless LAN Medum Access Control (MAC) and Physcal Layer (PHY) Specfcatons, Aug [2] IEEE Std 82.e/D3., Part : Wreless LAN Medum Access Control (MAC) and Physcal Layer (PHY) Specfcatons: Amendment: Medum Access Control (MAC) Qualty of Servce (QoS) Enhancements, Jan. 25. [3] S. Kumar, V. S. Raghavan, and J. Deng, Medum Access Control protocols for ad hoc wreless networks: A survey, Ad hoc Networks 4, 26, pp [4] G. Banch, Performance Analyss of the IEEE 82. dstrbuted coordnaton functon, IEEE J. Select. Areas. Commun., vol.8, no. 3, Mar. 2, pp [5] Y. Xao, Performance Analyss of Prorty Schemes for IEEE 82. and IEEE 82.e Wreless LANs, IEEE Trans. Wreless Commun., vol. 4, no. 4, Jul. 25, pp [6] J. Cho, J. Yoo, S. Cho, and C. Km, EBA: An Enhancement of the IEEE 82. DCF va Dstrbuted Reservaton, IEEE Trans. On Moble Computng, vol. 4, no. 4, Jul./Aug. 25, pp [7] J. L. Sobrnho and A. S. Krshnakumar, Qualty-of-Servce n Ad Hoc Carrer Sense Multple Access Wreless Networks, IEEE J. Select. Areas. Commun., Vol. 7,. 8, Aug [8] W. T. Chen, B. B. Jan, and S. C. Lo, An adaptve retransmsson scheme 5

16 wth QoS support for the IEEE 82. MAC enhancement, VTC Sprng 22. IEEE 55th, Vol., 22, pp [9] F. A. Tobag and L. Klenrock, Packet Swtchng n Rado Channels: Part II- The hdden termnal problem n carrer sense multple-access and the busytone soluton, IEEE Trans. On Commun., vol. com-23,. 2, December 975. [] E. Zouva and T. Antonakopoulos, CSMA/CA performance under hgh traffc condtons: Throughput and delay analyss, Comp. Commun., vol. 25, no. 3, Feb. 22, pp [] G. Banch and I. Tnnrello, Remarks on IEEE 82. DCF Performance Analyss, IEEE Commun. Lett., vol. 9, no. 8, Aug. 25, pp [2] Y. Kwon, Y. Fang, and H. Latchman, A vel MAC Protocol wth Fast Collson Resoluton for Wreless LANs, n Proc. IEEE INFOCOM 3, Apr. 23. [3] H. Wu, Y. Peng, K. Long, S. Cheng, and J. Ma, Performance of Relable Transport Protocol over IEEE 82. Wreless LAN: Analyss and Enhancement, n Proc. IEEE INFOCOM 2, vol. 2, Jun. 22. [4] S. Cho, PCF vs. DCF Lmtatons and Trends, IEEE 82.-/54, Jan. 2. [5] Z. Kong, D. H. K. Tsang, B. Bensaoum and D. Gao, Performance Analyss of IEEE 82.e Contenton-Based Channel Access, IEEE J. Select. Areas. Commun., vol. 22, no., Dec

Voice capacity of IEEE b WLANs

Voice capacity of IEEE b WLANs Voce capacty of IEEE 82.b WLANs D. S. Amanatads, V. Vtsas, A. Mantsars 2, I. Mavrds 2, P. Chatzmsos and A.C. Boucouvalas 3 Abstract-There s a tremendous growth n the deployment and usage of Wreless Local

More information

Analysis of Collaborative Distributed Admission Control in x Networks

Analysis of Collaborative Distributed Admission Control in x Networks 1 Analyss of Collaboratve Dstrbuted Admsson Control n 82.11x Networks Thnh Nguyen, Member, IEEE, Ken Nguyen, Member, IEEE, Lnha He, Member, IEEE, Abstract Wth the recent surge of wreless home networks,

More information

THE IEEE standard for wireless local area networks

THE IEEE standard for wireless local area networks IEEE RANSACIONS ON VEHICULAR ECHNOLOGY, VOL. 58, NO. 2, FEBRUARY 2009 855 Determnstc Prorty Channel Access Scheme for QoS Support n IEEE 802.11e Wreless LANs Sunmyeng Km, Rongsheng Huang, Student Member,

More information

IEEE E: QOS PROVISIONING AT THE MAC LAYER YANG XIAO, THE UNIVERSITY OF MEMPHIS

IEEE E: QOS PROVISIONING AT THE MAC LAYER YANG XIAO, THE UNIVERSITY OF MEMPHIS ACCEPTED FROM O PEN C ALL IEEE 802.11E: QOS PROVISIONING AT THE MAC LAYER YANG XIAO, THE UNIVERSITY OF MEMPHIS ess AIFS[j] AIFS[] PIFS SIFS AIFS[] Content 0 to CW Bac Slot Select s The emergng IEEE 802.11e

More information

Analysis of QoS in WLAN

Analysis of QoS in WLAN Analyss of QoS n WLAN PAAL E. ENGELSTAD AND OLAV N. ØSTERBØ Paal E. Engelstad s Research Scentst n Telenor R&D An analytcal model s proposed to descrbe the prorty schemes of the EDCA mechansm of the IEEE

More information

136 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 1, JANUARY Ching-Ling Huang and Wanjiun Liao, Senior Member, IEEE

136 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 1, JANUARY Ching-Ling Huang and Wanjiun Liao, Senior Member, IEEE 136 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 1, JANUARY 2007 Throughput and Delay Performance of IEEE 802.11e Enhanced Dstrbuted Channel Access (EDCA) Under Saturaton Condton Chng-Lng

More information

USER CLASS BASED QoS DIFFERENTIATION IN e WLAN

USER CLASS BASED QoS DIFFERENTIATION IN e WLAN USER CLASS BASED QoS DIFFERENTIATION IN 802.11e WLAN Amt Kejrwal, Ratan Guha School of Computer Scence Unversty of Central Florda Orlando, FL-32816 USA E-mal: {kejrwal, guha}@cs.ucf.edu Manak Chatterjee

More information

Department of Electrical and Computer Systems Engineering

Department of Electrical and Computer Systems Engineering Department of Electrcal and Computer Systems Engneerng Techncal Report MECSE-5-2004 A Survey of IEEE 802.11 MAC Mechansms for Qualty of Servce (QoS) n Wreless Local Area Networks (WLANs) D. Pham, A. Sekercoglu

More information

Simulation Based Analysis of FAST TCP using OMNET++

Simulation Based Analysis of FAST TCP using OMNET++ Smulaton Based Analyss of FAST TCP usng OMNET++ Umar ul Hassan 04030038@lums.edu.pk Md Term Report CS678 Topcs n Internet Research Sprng, 2006 Introducton Internet traffc s doublng roughly every 3 months

More information

Real-Time Guarantees. Traffic Characteristics. Flow Control

Real-Time Guarantees. Traffic Characteristics. Flow Control Real-Tme Guarantees Requrements on RT communcaton protocols: delay (response s) small jtter small throughput hgh error detecton at recever (and sender) small error detecton latency no thrashng under peak

More information

UBICC Publishers 2008 Ubiquitous Computing and Communication Journal

UBICC Publishers 2008 Ubiquitous Computing and Communication Journal UBICC Journal Ubqutous Computng and Communcaton Journal 008 Volume 3. 008-04-30. ISSN 99-844 Specal Issue on Moble Adhoc Networks UBICC ublshers 008 Ubqutous Computng and Communcaton Journal Edted by Usman

More information

Extension and Comparison of QoS-Enabled Wi-Fi Models in the Presence of Errors

Extension and Comparison of QoS-Enabled Wi-Fi Models in the Presence of Errors Extenson and Comparson of QoS-Enabled W-F Models n the Presence of Errors Ioanns Papapanagotou, Georgos S. Paschos*, Stavros A. Kotsopoulos** and Mchael Devetskots Electrcal and Computer Engneerng, North

More information

Performance analysis of distributed cluster-based MAC protocol for multiuser MIMO wireless networks

Performance analysis of distributed cluster-based MAC protocol for multiuser MIMO wireless networks RESEARCH Open Access Performance analyss of dstrbuted cluster-based MAC protocol for multuser MIMO wreless networks Azadeh Ettefagh *, Marc Kuhn, Celal Eşl and Armn Wttneben Abstract It s known that multuser

More information

A Fair MAC Algorithm with Dynamic Priority for e WLANs

A Fair MAC Algorithm with Dynamic Priority for e WLANs 29 Internatonal Conference on Communcaton Software and Networks A Far MAC Algorthm wth Dynamc Prorty for 82.e WLANs Rong He, Xumng Fang Provncal Key Lab of Informaton Codng & Transmsson, Southwest Jaotong

More information

A Free-Collision MAC Proposal for Networks

A Free-Collision MAC Proposal for Networks 12th Brazlan Workshop on Real-Tme and Embedded Systems 89 A Free-Collson MAC Proposal for 802.11 Networks Omar Alment 1,2, Gullermo Fredrch 1, Gullermo Reggan 1 1 SITIC Group Unversdad Tecnológca Naconal

More information

A Fair Access Mechanism Based on TXOP in IEEE e Wireless Networks

A Fair Access Mechanism Based on TXOP in IEEE e Wireless Networks 11 Internatonal Journal of Communcaton Networks and Informaton Securty (IJCNIS) Vol. 8, No. 1, Aprl 16 A Far Access Mechansm Based on TXOP n IEEE 8.11e Wreless Networks Marjan Yazdan 1, Maryam Kamal, Neda

More information

Efficient QoS Provisioning at the MAC Layer in Heterogeneous Wireless Sensor Networks

Efficient QoS Provisioning at the MAC Layer in Heterogeneous Wireless Sensor Networks Effcent QoS Provsonng at the MAC Layer n Heterogeneous Wreless Sensor Networks M.Soul a,, A.Bouabdallah a, A.E.Kamal b a UMR CNRS 7253 HeuDaSyC, Unversté de Technologe de Compègne, Compègne Cedex F-625,

More information

Adaptive Network Resource Management in IEEE Wireless Random Access MAC

Adaptive Network Resource Management in IEEE Wireless Random Access MAC Adaptve Network Resource Management n IEEE 802.11 Wreless Random Access MAC Hao Wang, Changcheng Huang, James Yan Department of Systems and Computer Engneerng Carleton Unversty, Ottawa, ON, Canada Abstract

More information

Efficient Backoff Algorithm in Wireless Multihop Ad Hoc Networks

Efficient Backoff Algorithm in Wireless Multihop Ad Hoc Networks 1 Chen-Mn Wu, 2 Hu-Ka Su, 3 Wang-Has Yang *1,Correspondng Author Nanhua Unversty, cmwu@mal.nhu.edu.tw 2 Natonal Formosa Unversty, hksu@nfu.edu.tw 3 Hsupng Insttute of Technology, yangwh@mal.ht.edu.tw do:10.4156/jact.vol3.

More information

RAP. Speed/RAP/CODA. Real-time Systems. Modeling the sensor networks. Real-time Systems. Modeling the sensor networks. Real-time systems:

RAP. Speed/RAP/CODA. Real-time Systems. Modeling the sensor networks. Real-time Systems. Modeling the sensor networks. Real-time systems: Speed/RAP/CODA Presented by Octav Chpara Real-tme Systems Many wreless sensor network applcatons requre real-tme support Survellance and trackng Border patrol Fre fghtng Real-tme systems: Hard real-tme:

More information

Performance Analysis of Markov Modulated 1-Persistent CSMA/CA Protocols with Exponential Backoff Scheduling

Performance Analysis of Markov Modulated 1-Persistent CSMA/CA Protocols with Exponential Backoff Scheduling Performance Analyss of Markov Modulated -Persstent CSMA/CA Protocols wth ponental Backoff Schedulng Pu ng Wong, Dongje Yn, and Tony T. Lee, Abstract. Ths paper proposes a Markovan model of -persstent CSMA/CA

More information

Re-routing Instability in IEEE Multi-hop Ad-hoc Networks *

Re-routing Instability in IEEE Multi-hop Ad-hoc Networks * Re-routng Instablty n IEEE 802.11 Mult-hop Ad-hoc Networks * Png Chung Ng and Soung Chang Lew Department of Informaton Engneerng The Chnese Unversty of Hong Kong {pcng3, soung}@e.cuhk.edu.hk Abstract TCP

More information

WIRELESS communication technology has gained widespread

WIRELESS communication technology has gained widespread 616 IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 4, NO. 6, NOVEMBER/DECEMBER 2005 Dstrbuted Far Schedulng n a Wreless LAN Ntn Vadya, Senor Member, IEEE, Anurag Dugar, Seema Gupta, and Paramvr Bahl, Senor

More information

Fast Retransmission of Real-Time Traffic in HIPERLAN/2 Systems

Fast Retransmission of Real-Time Traffic in HIPERLAN/2 Systems Fast Retransmsson of Real-Tme Traffc n HIPERLAN/ Systems José A Afonso and Joaqum E Neves Department of Industral Electroncs Unversty of Mnho, Campus de Azurém 4800-058 Gumarães, Portugal {joseafonso,

More information

An Analytical Model for IEEE Point-to-Point Link

An Analytical Model for IEEE Point-to-Point Link An Analytcal Model for IEEE 82. Pont-to-Pont Lnk Yong Yan, Xaowen hu Department of omputer cence, Hong Kong Baptst Unversty Emal: {yyan, chxw}@comp.hkbu.edu.hk Abstract - Wreless mesh networks have attracted

More information

Research Article A Comparison Performance Analysis of QoS WLANs: Approaches with Enhanced Features

Research Article A Comparison Performance Analysis of QoS WLANs: Approaches with Enhanced Features Hndaw Publshng Corporaton Advances n Multmeda Volume 007, Artcle ID 387, 3 pages do:055/007/387 Research Artcle A Comparson Performance Analyss of QoS WLANs: Approaches wth Enhanced Features Ioanns Papapanagotou,

More information

Performance Evaluation of IEEE e based on ON-OFF Traffic Model I. Papapanagiotou PhD. Student

Performance Evaluation of IEEE e based on ON-OFF Traffic Model I. Papapanagiotou PhD. Student erformance Evaluaton of IEEE 82.e based on ON-OFF Traffc Model I. apapanagotou hd. Student Wreless Telecommuncaton Laboratory Unversty of atras 265 4 atras Greece papapanag@upnet.gr J.S. Vardakas hd. Student

More information

A Game Theory based Contention Window Adjustment for IEEE under Heavy Load

A Game Theory based Contention Window Adjustment for IEEE under Heavy Load 93 Internatonal Journal of Communcaton Networks and Informaton Securty (IJCNIS) Vol. 5, No. 2, August 203 A Game Theory based Contenton Wndow Adjustment for IEEE 802. under Heavy Load Mahdeh Ghazvn, Naser

More information

Achievable Bandwidth Estimation for Stations in Multi-Rate IEEE WLAN Cells

Achievable Bandwidth Estimation for Stations in Multi-Rate IEEE WLAN Cells Achevable Bandwdth Estmaton for Statons n Mult-Rate IEEE 802. WLAN Cells Eduard Garca, Davd Vamonte, Rafael Vdal and Josep Paradells Wreless Networks Group - echncal Unversty of Catalona (UPC) {eduardg,

More information

Virtual Machine Migration based on Trust Measurement of Computer Node

Virtual Machine Migration based on Trust Measurement of Computer Node Appled Mechancs and Materals Onlne: 2014-04-04 ISSN: 1662-7482, Vols. 536-537, pp 678-682 do:10.4028/www.scentfc.net/amm.536-537.678 2014 Trans Tech Publcatons, Swtzerland Vrtual Machne Mgraton based on

More information

EFT: a high throughput routing metric for IEEE s wireless mesh networks

EFT: a high throughput routing metric for IEEE s wireless mesh networks Ann. Telecommun. (2010) 65:247 262 DOI 10.1007/s12243-009-0130-1 EFT: a hgh throughput routng metrc for IEEE 802.11s wreless mesh networks Md. Sharful Islam Muhammad Mahbub Alam Md. Abdul Hamd Choong Seon

More information

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz Compler Desgn Sprng 2014 Regster Allocaton Sample Exercses and Solutons Prof. Pedro C. Dnz USC / Informaton Scences Insttute 4676 Admralty Way, Sute 1001 Marna del Rey, Calforna 90292 pedro@s.edu Regster

More information

Performance Analysis of the IEEE MAC Protocol over a WLAN with Capture Effect

Performance Analysis of the IEEE MAC Protocol over a WLAN with Capture Effect Vol. IPSJ Dgtal Courer Nov. 25 Regular Paper Performance Analyss of the IEEE 82. MAC Protocol over a WLAN wth Capture Effect Xaolong L, and Qng-An Zeng, In ths paper, we use a dscrete Markov chan model

More information

Parallelism for Nested Loops with Non-uniform and Flow Dependences

Parallelism for Nested Loops with Non-uniform and Flow Dependences Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr

More information

Video Proxy System for a Large-scale VOD System (DINA)

Video Proxy System for a Large-scale VOD System (DINA) Vdeo Proxy System for a Large-scale VOD System (DINA) KWUN-CHUNG CHAN #, KWOK-WAI CHEUNG *# #Department of Informaton Engneerng *Centre of Innovaton and Technology The Chnese Unversty of Hong Kong SHATIN,

More information

A Binarization Algorithm specialized on Document Images and Photos

A Binarization Algorithm specialized on Document Images and Photos A Bnarzaton Algorthm specalzed on Document mages and Photos Ergna Kavalleratou Dept. of nformaton and Communcaton Systems Engneerng Unversty of the Aegean kavalleratou@aegean.gr Abstract n ths paper, a

More information

AADL : about scheduling analysis

AADL : about scheduling analysis AADL : about schedulng analyss Schedulng analyss, what s t? Embedded real-tme crtcal systems have temporal constrants to meet (e.g. deadlne). Many systems are bult wth operatng systems provdng multtaskng

More information

Efficient Distributed File System (EDFS)

Efficient Distributed File System (EDFS) Effcent Dstrbuted Fle System (EDFS) (Sem-Centralzed) Debessay(Debsh) Fesehaye, Rahul Malk & Klara Naherstedt Unversty of Illnos-Urbana Champagn Contents Problem Statement, Related Work, EDFS Desgn Rate

More information

An Energy-Efficient MAC Protocol for WSNs: Game-Theoretic Constraint Optimization with Multiple Objectives

An Energy-Efficient MAC Protocol for WSNs: Game-Theoretic Constraint Optimization with Multiple Objectives Wreless Sensor Network, 2009, 1, 358-364 do:10.4236/wsn.2009.14044 Publshed Onlne November 2009 (http://www.scrp.org/ournal/wsn). An Energy-Effcent MAC Protocol for s: Game-Theoretc Constrant Optmzaton

More information

Mobility Based Routing Protocol with MAC Collision Improvement in Vehicular Ad Hoc Networks

Mobility Based Routing Protocol with MAC Collision Improvement in Vehicular Ad Hoc Networks Moblty Based Routng Protocol wth MAC Collson Improvement n Vehcular Ad Hoc Networks Zhhao Dng, Pny Ren, Qnghe Du Shaanx Smart Networks and Ubqutous Access Rearch Center School of Electronc and Informaton

More information

Wishing you all a Total Quality New Year!

Wishing you all a Total Quality New Year! Total Qualty Management and Sx Sgma Post Graduate Program 214-15 Sesson 4 Vnay Kumar Kalakband Assstant Professor Operatons & Systems Area 1 Wshng you all a Total Qualty New Year! Hope you acheve Sx sgma

More information

Impact of the Parameterization of IEEE Medium Access Layer on the Consumption of ZigBee Sensor Motes

Impact of the Parameterization of IEEE Medium Access Layer on the Consumption of ZigBee Sensor Motes UBICOMM 21 : The Fourth Internatonal Conference on Moble Ubqutous Computng, Systems, Servces and Technologes Impact of the Parameterzaton of IEEE 82.15.4 Medum Access Layer on the Consumpton of ZgBee Sensor

More information

IEEE n Aggregation Performance Study for the Multicast

IEEE n Aggregation Performance Study for the Multicast IEEE 802.11n Aggregaton Performance Study for the Multcast Yousr Daldoul, Toufk Ahmed, Djamal-Eddne Meddour To cte ths verson: Yousr Daldoul, Toufk Ahmed, Djamal-Eddne Meddour. IEEE 802.11n Aggregaton

More information

A Wireless MAC Protocol with Efficient Packet Recovery

A Wireless MAC Protocol with Efficient Packet Recovery A Wreless MAC Protocol wth Effcent Packet Recovery Muhammad Naveed Aman and Bplab Skdar Department of Electcal, Computer and Systems Engneeng, Rensselaer Polytechnc Insttute, Troy NY 8 USA Abstract Exstng

More information

Experimental Tuning of the AIFSN Parameter to Prioritize Voice Over Data Transmission in E WLAN Networks

Experimental Tuning of the AIFSN Parameter to Prioritize Voice Over Data Transmission in E WLAN Networks Dubln Insttute of Technology AOW@DIT Conference papers Communcatons Network esearch Insttute 27-8-1 Expermental Tunng of the AIFSN Parameter to Prortze Voce Over Data Transmsson n 82.11E WLAN Networks

More information

Performance Analysis of Beacon-Less IEEE Multi-Hop Networks

Performance Analysis of Beacon-Less IEEE Multi-Hop Networks Performance Analyss of Beacon-Less IEEE 2..4 Mult-Hop Networks Racht Srvastava Deptt. of Electrcal Communcaton Engneerng Indan Insttute of Scence Bangalore, Inda 62 rachtsr@gmal.com Anurag Kumar Deptt.

More information

Applications and Challenges of the e EDCA Mechanism: An Experimental Study

Applications and Challenges of the e EDCA Mechanism: An Experimental Study Applcatons and Challenges of the 80.e EDCA Mechansm: An Expermental Study Albert Banchs, Arturo Azcorra, Carlos García, and Rubén Cuevas, Unversty Carlos III of Madrd Abstract In ths artcle we conduct

More information

Comparisons of Packet Scheduling Algorithms for Fair Service among Connections on the Internet

Comparisons of Packet Scheduling Algorithms for Fair Service among Connections on the Internet Comparsons of Packet Schedulng Algorthms for Far Servce among Connectons on the Internet Go Hasegawa, Takahro Matsuo, Masayuk Murata and Hdeo Myahara Department of Infomatcs and Mathematcal Scence Graduate

More information

DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT

DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT Bran J. Wolf, Joseph L. Hammond, and Harlan B. Russell Dept. of Electrcal and Computer Engneerng, Clemson Unversty,

More information

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) , Fax: (370-5) ,

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) , Fax: (370-5) , VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual

More information

APPLICATION OF PREDICTION-BASED PARTICLE FILTERS FOR TELEOPERATIONS OVER THE INTERNET

APPLICATION OF PREDICTION-BASED PARTICLE FILTERS FOR TELEOPERATIONS OVER THE INTERNET APPLICATION OF PREDICTION-BASED PARTICLE FILTERS FOR TELEOPERATIONS OVER THE INTERNET Jae-young Lee, Shahram Payandeh, and Ljljana Trajovć School of Engneerng Scence Smon Fraser Unversty 8888 Unversty

More information

Dynamic Bandwidth Allocation Schemes in Hybrid TDM/WDM Passive Optical Networks

Dynamic Bandwidth Allocation Schemes in Hybrid TDM/WDM Passive Optical Networks Dynamc Bandwdth Allocaton Schemes n Hybrd TDM/WDM Passve Optcal Networks Ahmad R. Dhan, Chad M. Ass, and Abdallah Sham Concorda Insttue for Informaton Systems Engneerng Concorda Unversty, Montreal, Quebec,

More information

Priority-Based Scheduling Algorithm for Downlink Traffics in IEEE Networks

Priority-Based Scheduling Algorithm for Downlink Traffics in IEEE Networks Prorty-Based Schedulng Algorthm for Downlnk Traffcs n IEEE 80.6 Networks Ja-Mng Lang, Jen-Jee Chen, You-Chun Wang, Yu-Chee Tseng, and Bao-Shuh P. Ln Department of Computer Scence Natonal Chao-Tung Unversty,

More information

Load Balancing for Hex-Cell Interconnection Network

Load Balancing for Hex-Cell Interconnection Network Int. J. Communcatons, Network and System Scences,,, - Publshed Onlne Aprl n ScRes. http://www.scrp.org/journal/jcns http://dx.do.org/./jcns.. Load Balancng for Hex-Cell Interconnecton Network Saher Manaseer,

More information

An Optimal Algorithm for Prufer Codes *

An Optimal Algorithm for Prufer Codes * J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,

More information

A General Model of Wireless Interference

A General Model of Wireless Interference A General Model of Wreless Interference Ll Qu Yn Zhang Feng Wang M Kyung Han Ratul Mahajan Unversty of Texas at Austn Mcrosoft Research Austn, TX 7872, USA Redmond, WA 9852, USA {ll,yzhang,wangf,hanm2}@cs.utexas.edu

More information

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields 17 th European Symposum on Computer Aded Process Engneerng ESCAPE17 V. Plesu and P.S. Agach (Edtors) 2007 Elsever B.V. All rghts reserved. 1 A mathematcal programmng approach to the analyss, desgn and

More information

CS 268: Lecture 8 Router Support for Congestion Control

CS 268: Lecture 8 Router Support for Congestion Control CS 268: Lecture 8 Router Support for Congeston Control Ion Stoca Computer Scence Dvson Department of Electrcal Engneerng and Computer Scences Unversty of Calforna, Berkeley Berkeley, CA 9472-1776 Router

More information

A Sub-Critical Deficit Round-Robin Scheduler

A Sub-Critical Deficit Round-Robin Scheduler A Sub-Crtcal Defct ound-obn Scheduler Anton Kos, Sašo Tomažč Unversty of Ljubljana, Faculty of Electrcal Engneerng, Ljubljana, Slovena E-mal: anton.kos@fe.un-lj.s Abstract - A scheduler s an essental element

More information

APPLICATION OF PREDICTION-BASED PARTICLE FILTERS FOR TELEOPERATIONS OVER THE INTERNET

APPLICATION OF PREDICTION-BASED PARTICLE FILTERS FOR TELEOPERATIONS OVER THE INTERNET APPLICATION OF PREDICTION-BASED PARTICLE FILTERS FOR TELEOPERATIONS OVER THE INTERNET Jae-young Lee, Shahram Payandeh, and Ljljana Trajovć School of Engneerng Scence Smon Fraser Unversty 8888 Unversty

More information

QoS-aware composite scheduling using fuzzy proactive and reactive controllers

QoS-aware composite scheduling using fuzzy proactive and reactive controllers Khan et al. EURASIP Journal on Wreless Communcatons and Networkng 2014, 2014:138 http://jwcn.euraspjournals.com/content/2014/1/138 RESEARCH Open Access QoS-aware composte schedulng usng fuzzy proactve

More information

An Approximation to the QoS Aware Throughput Region of a Tree Network under IEEE CSMA/CA with Application to Wireless Sensor Network Design

An Approximation to the QoS Aware Throughput Region of a Tree Network under IEEE CSMA/CA with Application to Wireless Sensor Network Design An Approxmaton to the QoS Aware Throughput Regon of a Tree Network under IEEE 802.15.4 CSMA/CA wth Applcaton to Wreless Sensor Network Desgn Abht Bhattacharya a, Anurag Kumar a a Dept. of Electrcal Communcaton

More information

X- Chart Using ANOM Approach

X- Chart Using ANOM Approach ISSN 1684-8403 Journal of Statstcs Volume 17, 010, pp. 3-3 Abstract X- Chart Usng ANOM Approach Gullapall Chakravarth 1 and Chaluvad Venkateswara Rao Control lmts for ndvdual measurements (X) chart are

More information

Aggregated traffic flow weight controlled hierarchical MAC protocol for wireless sensor networks

Aggregated traffic flow weight controlled hierarchical MAC protocol for wireless sensor networks Ann. Telecommun. (29) 64:75 721 DOI.7/s12243-9-95- Aggregated traffc flow weght controlled herarchcal MAC protocol for wreless sensor networks M. Abdur Razzaque M. Mamun-Or-Rashd Muhammad Mahbub Alam Choong

More information

A fair buffer allocation scheme

A fair buffer allocation scheme A far buffer allocaton scheme Juha Henanen and Kalev Klkk Telecom Fnland P.O. Box 228, SF-330 Tampere, Fnland E-mal: juha.henanen@tele.f Abstract An approprate servce for data traffc n ATM networks requres

More information

Enhanced Markov Chain Model and Throughput Analysis of the Slotted CSMA/CA for IEEE Under Unsaturated Traffic Conditions

Enhanced Markov Chain Model and Throughput Analysis of the Slotted CSMA/CA for IEEE Under Unsaturated Traffic Conditions IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 58, NO. 1, JANUARY 2009 473 Enhanced Markov Chan Model and Throughput Analyss of the Slotted CSMA/CA for IEEE 802.15.4 Under Unsaturated Traffc Condtons

More information

Dynamic Bandwidth Provisioning with Fairness and Revenue Considerations for Broadband Wireless Communication

Dynamic Bandwidth Provisioning with Fairness and Revenue Considerations for Broadband Wireless Communication Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the ICC 008 proceedngs. Dynamc Bandwdth Provsonng wth Farness and Revenue Consderatons

More information

Scheduling and queue management. DigiComm II

Scheduling and queue management. DigiComm II Schedulng and queue management Tradtonal queung behavour n routers Data transfer: datagrams: ndvdual packets no recognton of flows connectonless: no sgnallng Forwardng: based on per-datagram forwardng

More information

Hermite Splines in Lie Groups as Products of Geodesics

Hermite Splines in Lie Groups as Products of Geodesics Hermte Splnes n Le Groups as Products of Geodescs Ethan Eade Updated May 28, 2017 1 Introducton 1.1 Goal Ths document defnes a curve n the Le group G parametrzed by tme and by structural parameters n the

More information

Fibre-Optic AWG-based Real-Time Networks

Fibre-Optic AWG-based Real-Time Networks Fbre-Optc AWG-based Real-Tme Networks Krstna Kunert, Annette Böhm, Magnus Jonsson, School of Informaton Scence, Computer and Electrcal Engneerng, Halmstad Unversty {Magnus.Jonsson, Krstna.Kunert}@de.hh.se

More information

WITH rapid improvements of wireless technologies,

WITH rapid improvements of wireless technologies, JOURNAL OF SYSTEMS ARCHITECTURE, SPECIAL ISSUE: HIGHLY-RELIABLE CPS, VOL. 00, NO. 0, MONTH 013 1 Adaptve GTS Allocaton n IEEE 80.15.4 for Real-Tme Wreless Sensor Networks Feng Xa, Ruonan Hao, Je L, Naxue

More information

Real-time interactive applications

Real-time interactive applications Real-tme nteractve applcatons PC-2-PC phone PC-2-phone Dalpad Net2phone vdeoconference Webcams Now we look at a PC-2-PC Internet phone example n detal Internet phone over best-effort (1) Best effort packet

More information

1978 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 34, NO. 7, JULY 2016

1978 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 34, NO. 7, JULY 2016 1978 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 34, NO. 7, JULY 2016 Analyss and Enhancement of CSMA/CA Wth Deferral n Power-Lne Communcatons Chrstna Vlachou, Albert Banchs, Senor Member, IEEE,

More information

Transmit Power Control Algorithms in IEEE h Based Networks

Transmit Power Control Algorithms in IEEE h Based Networks Transmt Power Control Algorthms n IEEE 82.h Based Networks Andreas J. Könsgen, Zakr Hossan, Carmelta Görg Department of Communcaton Networks Center for Informaton and Communcaton Technology (IKOM) Unversty

More information

QoS Bandwidth Estimation Scheme for Delay Sensitive Applications in MANETs

QoS Bandwidth Estimation Scheme for Delay Sensitive Applications in MANETs Communcatons and Network, 2013, 5, 1-8 http://dx.do.org/10.4236/cn.2013.51001 Publshed Onlne February 2013 (http://www.scrp.org/journal/cn) QoS Bandwdth Estmaton Scheme for Delay Senstve Applcatons n MANETs

More information

PERFORMANCE ANALYSIS OF ROUTING ALGORITHMS OF RD-C/TDMA PACKET RADIO NETWORKS UNDER DYNAMIC RANDOM TOPOLOGY1

PERFORMANCE ANALYSIS OF ROUTING ALGORITHMS OF RD-C/TDMA PACKET RADIO NETWORKS UNDER DYNAMIC RANDOM TOPOLOGY1 PERFORMANCE ANALYSIS OF ROUTING ALGORITHMS OF 1- RD-C/TDMA PACKET RADIO NETWORKS UNDER DYNAMIC RANDOM TOPOLOGY1 A Thess Presented to The Faculty of the College of Engneerng and Technology Oho Unversty

More information

Efficient Content Distribution in Wireless P2P Networks

Efficient Content Distribution in Wireless P2P Networks Effcent Content Dstrbuton n Wreless P2P Networs Qong Sun, Vctor O. K. L, and Ka-Cheong Leung Department of Electrcal and Electronc Engneerng The Unversty of Hong Kong Pofulam Road, Hong Kong, Chna {oansun,

More information

The Impact of Delayed Acknowledgement on E-TCP Performance In Wireless networks

The Impact of Delayed Acknowledgement on E-TCP Performance In Wireless networks The mpact of Delayed Acknoledgement on E-TCP Performance n Wreless netorks Deddy Chandra and Rchard J. Harrs School of Electrcal and Computer System Engneerng Royal Melbourne nsttute of Technology Melbourne,

More information

Combined SINR Based Vertical Handoff Algorithm for Next Generation Heterogeneous Wireless Networks

Combined SINR Based Vertical Handoff Algorithm for Next Generation Heterogeneous Wireless Networks Combned SINR Based Vertcal Handoff Algorthm for Next Generaton Heterogeneous Wreless Networks Kemeng Yang, Iqbal Gondal, Bn Qu and Laurence S. Dooley Faculty of Informaton Technology Monash Unversty Melbourne,

More information

Avoiding congestion through dynamic load control

Avoiding congestion through dynamic load control Avodng congeston through dynamc load control Vasl Hnatyshn, Adarshpal S. Seth Department of Computer and Informaton Scences, Unversty of Delaware, Newark, DE 976 ABSTRACT The current best effort approach

More information

Mathematics 256 a course in differential equations for engineering students

Mathematics 256 a course in differential equations for engineering students Mathematcs 56 a course n dfferental equatons for engneerng students Chapter 5. More effcent methods of numercal soluton Euler s method s qute neffcent. Because the error s essentally proportonal to the

More information

A Backoff Algorithm for Improving Saturation Throughput in IEEE DCF

A Backoff Algorithm for Improving Saturation Throughput in IEEE DCF A Backoff Algorithm for Improving Saturation Throughput in IEEE 80.11 DCF Kiyoshi Takahashi and Toshinori Tsuboi School of Computer Science, Tokyo University of Technology, 1404-1 Katakura, Hachioji, Tokyo,

More information

Instantaneous Fairness of TCP in Heterogeneous Traffic Wireless LAN Environments

Instantaneous Fairness of TCP in Heterogeneous Traffic Wireless LAN Environments KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS VOL. 10, NO. 8, Aug. 2016 3753 Copyrght c2016 KSII Instantaneous Farness of TCP n Heterogeneous Traffc Wreless LAN Envronments Young-Jn Jung 1 and

More information

TIME-DRIVEN ACCESS AND FORWARDING IN IEEE MESH NETWORKS

TIME-DRIVEN ACCESS AND FORWARDING IN IEEE MESH NETWORKS 1 TIME-DRIVE ACCESS AD FORWARDI I IEEE 8011 MESH ETWORKS Maro Bald and Rccardo acomell Abstract Varous solutons based on both prortzaton and resource allocaton have been proposed n the lterature and standard

More information

Utility Constrained Energy Minimization In Aloha Networks

Utility Constrained Energy Minimization In Aloha Networks Utlty Constraned Energy nmzaton In Aloha Networks Amrmahd Khodaan, Babak H. Khalaj, ohammad S. Taleb Electrcal Engneerng Department Sharf Unversty of Technology Tehran, Iran khodaan@ee.shrf.edu, khalaj@sharf.edu,

More information

Wireless Communication

Wireless Communication Wreless Communcaton Dr. Ganluca Franchno Scuola Superore Sant Anna Psa, Italy Emal: g.franchno@sssup.t ReTS Lab Real-Tme Systems Laboratory Outlne Graduate Course on Embedded Control Systems: Theory and

More information

Virtual Memory. Background. No. 10. Virtual Memory: concept. Logical Memory Space (review) Demand Paging(1) Virtual Memory

Virtual Memory. Background. No. 10. Virtual Memory: concept. Logical Memory Space (review) Demand Paging(1) Virtual Memory Background EECS. Operatng System Fundamentals No. Vrtual Memory Prof. Hu Jang Department of Electrcal Engneerng and Computer Scence, York Unversty Memory-management methods normally requres the entre process

More information

Problem Set 3 Solutions

Problem Set 3 Solutions Introducton to Algorthms October 4, 2002 Massachusetts Insttute of Technology 6046J/18410J Professors Erk Demane and Shaf Goldwasser Handout 14 Problem Set 3 Solutons (Exercses were not to be turned n,

More information

TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z.

TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z. TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS Muradalyev AZ Azerbajan Scentfc-Research and Desgn-Prospectng Insttute of Energetc AZ1012, Ave HZardab-94 E-mal:aydn_murad@yahoocom Importance of

More information

An Inter-Piconet Scheduling Algorithm for Bluetooth Scatternets

An Inter-Piconet Scheduling Algorithm for Bluetooth Scatternets An Inter-Pconet Schedulng Algorthm for Bluetooth Scatternets Suman Saha, Mtsuj Matsumoto GITS, Waseda Unversty, Tokyo, Japan suman@asag.waseda.jp, mmatsumoto@waseda.jp Abstract Bluetooth s a wreless specfcaton

More information

Neural Network Control for TCP Network Congestion

Neural Network Control for TCP Network Congestion 5 Amercan Control Conference June 8-, 5. Portland, OR, USA FrA3. Neural Network Control for TCP Network Congeston Hyun C. Cho, M. Sam Fadal, Hyunjeong Lee Electrcal Engneerng/6, Unversty of Nevada, Reno,

More information

S1 Note. Basis functions.

S1 Note. Basis functions. S1 Note. Bass functons. Contents Types of bass functons...1 The Fourer bass...2 B-splne bass...3 Power and type I error rates wth dfferent numbers of bass functons...4 Table S1. Smulaton results of type

More information

A Semi-Distributed Load Balancing Architecture and Algorithm for Heterogeneous Wireless Networks

A Semi-Distributed Load Balancing Architecture and Algorithm for Heterogeneous Wireless Networks A Sem-Dstrbuted oad Balancng Archtecture and Algorthm for Heterogeneous reless Networks Md. Golam Rabul Ala Choong Seon Hong * Kyung Hee Unversty, Korea rob@networkng.khu.ac.kr, cshong@khu.ac.kr Abstract

More information

THere are increasing interests and use of mobile ad hoc

THere are increasing interests and use of mobile ad hoc 1 Adaptve Schedulng n MIMO-based Heterogeneous Ad hoc Networks Shan Chu, Xn Wang Member, IEEE, and Yuanyuan Yang Fellow, IEEE. Abstract The demands for data rate and transmsson relablty constantly ncrease

More information

Improving Low Density Parity Check Codes Over the Erasure Channel. The Nelder Mead Downhill Simplex Method. Scott Stransky

Improving Low Density Parity Check Codes Over the Erasure Channel. The Nelder Mead Downhill Simplex Method. Scott Stransky Improvng Low Densty Party Check Codes Over the Erasure Channel The Nelder Mead Downhll Smplex Method Scott Stransky Programmng n conjuncton wth: Bors Cukalovc 18.413 Fnal Project Sprng 2004 Page 1 Abstract

More information

An Application of the Dulmage-Mendelsohn Decomposition to Sparse Null Space Bases of Full Row Rank Matrices

An Application of the Dulmage-Mendelsohn Decomposition to Sparse Null Space Bases of Full Row Rank Matrices Internatonal Mathematcal Forum, Vol 7, 2012, no 52, 2549-2554 An Applcaton of the Dulmage-Mendelsohn Decomposton to Sparse Null Space Bases of Full Row Rank Matrces Mostafa Khorramzadeh Department of Mathematcal

More information

DEAR: A DEVICE AND ENERGY AWARE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS

DEAR: A DEVICE AND ENERGY AWARE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS DEAR: A DEVICE AND ENERGY AWARE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS Arun Avudanayagam Yuguang Fang Wenjng Lou Department of Electrcal and Computer Engneerng Unversty of Florda Ganesvlle, FL 3261

More information

Quantifying Responsiveness of TCP Aggregates by Using Direct Sequence Spread Spectrum CDMA and Its Application in Congestion Control

Quantifying Responsiveness of TCP Aggregates by Using Direct Sequence Spread Spectrum CDMA and Its Application in Congestion Control Quantfyng Responsveness of TCP Aggregates by Usng Drect Sequence Spread Spectrum CDMA and Its Applcaton n Congeston Control Mehd Kalantar Department of Electrcal and Computer Engneerng Unversty of Maryland,

More information

Routing in Degree-constrained FSO Mesh Networks

Routing in Degree-constrained FSO Mesh Networks Internatonal Journal of Hybrd Informaton Technology Vol., No., Aprl, 009 Routng n Degree-constraned FSO Mesh Networks Zpng Hu, Pramode Verma, and James Sluss Jr. School of Electrcal & Computer Engneerng

More information

Synchronous Distributed Wireless Network Emulator for High-Speed Mobility: Implementation and Evaluation

Synchronous Distributed Wireless Network Emulator for High-Speed Mobility: Implementation and Evaluation Synchronous Dstrbuted Wreless Network Emulator for Hgh-Speed Moblty: Implementaton and Evaluaton Mnoru Kozum, Tomoch Ebata Yokohama Research Laboratory, Htach, Ltd., 292 Yoshda-cho, Totsuka-ku, Yokohama,

More information