Reliable Robust and Real-Time Communication Protocol for Data Delivery in Wireless sensor Networks

Size: px
Start display at page:

Download "Reliable Robust and Real-Time Communication Protocol for Data Delivery in Wireless sensor Networks"

Transcription

1 Relable Robust an Real-Tme Communcaton Protocol or Data Delvery n Wreless sensor Networks Deepal Vrman [1], Satbr Jan [2] Abstract [1] Department o computer scence, BPIT, IPU, Delh, Ina [2] Department o computer scence, NSIT, DU, Delh, Ina eepalvrman@gmal.com WSNs can be consere a strbute control system esgne to react to sensor normaton wth an eectve an tmely acton. For ths reason, n WSNs t s mportant to prove real-tme coornaton an communcaton to guarantee tmely executon o the rght actons. In ths paper a new communcaton protocol RRRT to support robust real-tme an relable event ata elvery wth mnmum energy consumpton an wth congeston avoance n WSNs s propose. The propose protocol uses the ault tolerant optmal path or ata elvery. The propose soluton ynamcally ajust ther protocol conguratons to aapt to the heterogeneous characterstcs o WSNs. Speccally, the nteractons between contenton resoluton an congeston control mechansms as well as the physcal layer eects n WSNs are nvestgate. Keywors: Real-tme, relable, robust, congeston, energy consumpton. 1. Introucton The exstng an potental applcatons o WSNs span a very we range, nclung real tme target trackng an survellance, homelan securty, an bologcal or chemcal attack etecton [1]. Realzaton o these currently esgne an envsone applcatons, however, rectly epens on real-tme an relable communcaton capabltes o the eploye sensor/sub-snk network. In ths paper, a relable, robust an real-tme communcaton RRRT protocol s propose to aress the communcaton challenges ntrouce by the coexstence o sensors an sub-snks n WSNs. The RRRT protocol s a novel transport soluton that seeks to acheve relable an tmely event etecton wth

2 mnmum possble energy consumpton. The RRRT uses a ault tolerant optmal path (FTOP) [2] or ata elvery. It nclues a combne congeston control mechansm that serves the ual purpose o achevng relablty an conservng energy. The RRRT protocol operaton s etermne by the current network state base on the elay constrane event relablty an congeston conton n the network. I the elay constrane event relablty s lower than requre, RRRT ajusts the reportng requency o source noes aggressvely to reach the esre relablty level as soon as possble. I the relablty s hgher than requre, then RRRT reuces the reportng requency conservatvely to conserve energy whle stll mantanng relablty. Ths sel congurng nature o RRRT makes t robust to ranom, ynamc topology n WSNs. Furthermore, to aress the erent relablty requrements o sub-snk an sub-snk communcaton, RRRT ncorporates aaptve rate-base transmsson control an (SACK)-base relablty mechansm urng sub-snk an sub-snk communcaton. Perormance evaluaton va smulaton experments shows that RRRT acheves hgh perormance n terms o relable event etecton, communcaton latency an energy consumpton n WSNs. 2. RRRT Protocol Desgn Prncples Unlke tratonal networks, the sensor/sub-snk network paragm necesstates that the event eatures are collaboratvely estmate wthn a certan relablty an real-tme elay boun. To acheve ths objectve wth maxmum resource ecency, the RRRT protocol explots both the correlaton an the collaboratve nature o the network. In the ollowng sectons, we rst escrbe the characterstcs an challenges o both sensor/sub-snk an sub-snk/sub-snk communcaton an then base on these characterstcs, we scuss the man esgn components o the RRRT protocol n etal. 2.1 Relable Event Transport The RRRT protocol s equppe wth erent relablty unctonaltes to aress heterogeneous requrements o both sensor/sub-snk an sub-snk/sub-snk communcaton. Next, the man eatures o these relablty unctonaltes are escrbe.

3 2.1.1 Sensor/Sub-snk Transport Relablty In WSNs, sensor/sub-snk transport s characterze by the ense eployment o sensors that contnuously observe physcal phenomenon. Because o the hgh ensty n the network topology, sensor observatons are hghly correlate n the space oman. In aton, the nature o the physcal phenomenon consttutes the temporal correlaton between each consecutve observaton o the sensor. Because o these spatal an temporal correlatons along wth the collaboratve nature o the WSNs, sensor/sub-snk transport oes not requre 100% relablty [3], [4]. The RRRT protocol also consers the new noton o event-to-acton elay boun to meet the applcaton-specc ealnes. Base on both event transport relablty an event-toacton elay boun notons, we ntrouce the ollowng entons: 1. The observe elay-constrane event relablty ( o ) s the number o receve ata packets wthn a certan elay boun at the sub-snk noe n a ecson nterval. In other wors, o counts the number o correctly receve packets complyng wth the applcaton-specc elay bouns an the value o o s measure n each ecson nterval. 2. The esre elay-constrane event relablty ( ) s the mnmum number o ata packets requre or relable event etecton wthn a certan applcaton specc elay boun. Ths lower boun or the relablty level s etermne by the applcaton an base on the physcal characterstcs o the event sgnal beng tracke. 3. The elay-constrane relablty ncator (α) s the rato o the observe an esre o elay-constrane event relabltes,.e (1) Base on the packets generate by the sensor noes n the event area, the event eatures are estmate an o s observe at each ecson nterval to etermne the necessary acton. I the observe elay constrane event relablty s hgher than the relablty boun,.e., o >, then the event s eeme to be relably etecte wthn a certan elay boun. Otherwse, approprate acton nees to be taken to assure the esre relablty level n sensor/sub-snk communcaton.

4 2.1.2 Sub-snk-Sub-snk Transport Relablty In WSNs, a relable an tmely sub-snk-sub-snk a hoc communcaton s also requre to collaboratvely perorm the rght acton upon the sense phenomena [1]. The RRRT protocol smultaneously ncorporates aaptve rate-base transmsson control an (SACK)-base relablty mechansm to acheve 100% packet relablty n the requre a hoc communcaton. To acheve ths objectve, RRRT protocol reles upon new eeback base congeston control mechansms an probe packets to recover rom subsequent losses an selectve-acknowlegments (SACK) to etect any holes n the receve ata stream. These algorthms are shown to be benecal an eectve n recoverng rom multple packet losses n one roun-trp tme (RTT) especally [5]. 2.2 Real-Tme Event Transport To assure accurate an tmely acton on the sense phenomena, t s mperatve that the event s sense, transporte to the sub-snk noe an the requre acton s perorme wthn a certan elay boun. We call ths event-to-acton elay, e2a, whch s specc to applcaton requrements an must be met so that the overall objectve o the sensor/subsnk sub-snk network s acheve. The event-to-acton elay components as outlne below: e2a, has three man 1. Event transport elay ET el : It s manly ene as the tme between when the event occurs an when t s relably transporte to the sub-snk noe. In general, t nvolves the ollowng elay components: (a) Buerng elay ( B el ): It s the tme spent by a ata packet n the routng queue o an ntermeate orwarng sensor noe. It epens on the current network loa an transmsson rate o each sensor noe. (b) Channel access elay ( CA el ): It s the tme spent by the sensor noe to capture the channel or transmsson o the ata packet generate by the etecton o the event. It epens on the channel access scheme n use, noe ensty an the current network loa.

5 (c) Transmsson elay ( T el ): It s the tme spent by the sensor noe to transmt the ata packet over the wreless channel. It can be calculate usng transmsson rate an the length o the ata packet. () Propagaton elay ( P el ): It s the propagaton latency o the ata packet to reach the next hop over the wreless channel. It manly epens on the stance an channel contons between the sener an recever. 2. Event processng elay ( EP el ): Ths s the processng elay experence at the subsnk noe when the esre eatures o event are estmate usng the ata packets receve rom the sensor el. Ths may nclue a certan ecson nterval [3] urng whch the sub-snk noe wats to receve aequate samples rom the sensor noes. 3. Acton elay ( A el ): The acton elay s the tme t takes rom the nstant that event s relably etecte at the sub-snk noe to the nstant that the actual acton s taken. It s compose o the task assgnment elay,.e., tme to select the best set o sub-snks or the task an the acton executon elay,.e., tme to actually perorm the acton. For a tmely acton t s necessary that the ollowng relaton hols: B EP A (2) e2a el el el 2.3 Congeston Detecton an Control Mechansm In WSNs, because o the memory lmtatons o the sensor noes an lmte capacty o share wreless meum, congeston mght be experence n the network. Congeston leas to both waste o communcaton an energy resources o the sensor noes an also hampers the event etecton relablty because o packet losses [3]. Hence, t s manatory to aress the congeston n the sensor el to acheve real-tme an relable event etecton an mnmze energy consumpton. Only the sub-snk noe, an not any o the sensor noes, can etermne the elay-constrane relablty ncator, o an act accorngly. 3. RRRT Protocol Operaton or Sensor-Sub-snk Communcaton

6 In ths secton, we escrbe the RRRT protocol operaton urng sensor/sub-snk communcaton. Recall that n the prevous sectons, base on the elay-constrane event relablty an the event-to-acton elay boun notons, we ha ene a new elay- constrane relablty ncator o,.e., the rato o observe an esre elayconstrane event relabltes. To etermne proper event reportng requency upate polces, we also ene T an T sa, whch are the amount o tme neee to prove elayconstrane event relablty or a ecson nterval an the applcaton specc sensor/sub-snk communcaton elay boun, respectvely. In conjuncton wth the congeston notcaton normaton (CN bt) an the values o, α, T an T sa, the subsnk noe calculates the upate reportng requency, +1, to be broacast to source noes n each ecson nterval. Ths upatng process s repeate untl the optmal operatng pont s oun,.e., aequate relablty an no congeston conton are obtane. In the ollowng sectons, we escrbe the etals o the reportng requency upate polces an possble network contons experence by the sensor noes. 3.1 Early Relablty an No Congeston Conton In ths conton, the requre relablty level specc to applcaton s reache beore the sensor/sub-snk communcaton elay boun,.e., T T sa, an no congeston s observe n the network,.e., CN = 0. However, the observe elay-constrane event relablty,, s larger than esre elay-constrane event relablty, o Ths s because source noes transmt event ata more requently than requre. The most mportant consequence o ths conton s excessve energy consumpton o the sensors. Thereore, the reportng requency shoul be ecrease cautously to conserve energy. Ths reucton shoul be perorme cautously so that the elay-constrane event relablty s always mantane. Thereore, the sub-snk noe ecreases the reportng requency n a controlle manner. Intutvely, we try to n a balance between savng energy an mantanng relablty. Hence, the upate reportng requency can be expresse as ollows: T 1 (3) Tsa

7 3.2 Early Relablty an Congeston Conton In ths conton, the requre relablty level specc to applcaton s reache beore the sensor/sub-snk communcaton elay boun,.e., T T, an congeston s observe n the network,.e., CN = 1. However, the observe elay-constrane event relablty, o, s larger than the esre elay-constrane event relablty, sa.in ths stuaton, the RRRT protocol ecreases reportng requency to avo congeston an save the lmte energy o sensors. Ths reucton shoul be n a controlle manner so that the elay-constrane event relablty s always mantane. However, the reportng requency can be ecrease more aggressvely than the case where there s no congeston an the observe elay-constrane event relablty, elay-constrane event relablty, o, s larger than the esre. Ths s because n ths case, we are arther rom optmal operatng pont. Here, we try to avo congeston as soon as possble. Hence, the upate reportng requency can be expresse as ollows: T T T 1 mn, sa (4) Tsa 3.3 Low Relablty an No Congeston Conton In ths conton, the requre relablty level specc to applcaton s not reache beore sensor-sub-snk communcaton elay boun,.e. T T sa, an no congeston s observe n the network,.e., CN = 0. However, the observe elay-constrane event relablty, s lower than the esre elay-constrane event relablty,. The o RRRT protocol can work wth any o these routng schemes. Thereore, to acheve requre event relablty, we nee to ncrease the ata reportng requences o source noes. Here, we explot the act that the congeston,.e., or max Dr vs relatonshp n the absence o s lnear. In ths regar, we use the multplcatve ncrease strategy to calculate upate reportng requency, whch s expresse as ollows: 1 (5) o

8 3.4 Low Relablty an Congeston Conton In ths conton, the requre relablty level specc to applcaton s not reache beore sensor-sub-snk communcaton elay boun,.e., T T sa, an congeston s observe n the network,.e., CN = 1. However, the observe elay-constrane event relablty, o, s lower than the esre elay-constrane event relablty, Ths stuaton s the worst possble case, snce esre elay-constrane event relablty s not reache, network congeston s observe an thus, lmte energy o sensors s waste. Hence, the RRRT protocol aggressvely reuces reportng requency to reach optmal reportng requency as soon as possble. Thereore, to assure sucent ecrease n the reportng requency, t s exponentally ecrease an the new requency s expresse by: o ( X ) 1 (6) Where x enotes the number o successve ecson ntervals or whch the network has remane n the same stuaton nclung the current ecson nterval,.e. x 1. Here, the purpose s to ecrease reportng requency wth greater aggresson, a network conton transton s not etecte. 3.5 Aequate Relablty an No Congeston Conton In ths conton, the network s wthn β tolerance o the optmal operatng pont,.e., an, 1 1 an no congeston s observe n the network. Hence, the max reportng requency o source noes s let constant or the next ecson nterval: 1 (7) Here, our am s to operate as close to 1 as possble, whle utlzng mnmum network resources an meetng event elay bouns. For practcal purposes, we ene a tolerance level, β, or optmal operatng pont. The entre RRRT protocol operaton s presente n the pseuo-algorthm gven n Fgure 1

9 x=1 ; RRRT() I (Congeston) I ( 1) /* Low Relablty an Congeston */ o ( X ) 1 ; x x 1 ; else ( 1) /* Early Relablty an Congeston */ x 1 ; T mn, Tsa en; T T 1 sa ; else (No Congeston) x 1; ( 1 ) /* Low Relablty an No Congeston */ 1 ; o else ( 1 ) /* Early Relablty an No Congeston */ 1 T T sa ; en; en; en; else 1 1 /* Aequate Relablty an No Congeston */ 1 ; Fgure 1 Algorthm o RRRT

10 4. RRRT Protocol Operaton or Sub-snk/Sub-snk Communcaton In ths secton, we escrbe the protocol operaton o RRRT urng Sub-snk/Sub-snk communcaton. The protocol operaton s compose o two man states: ) Start-up state, ) Steay state. In Fgure 2, the RRRT protocol state agram or Sub-snk/Sub-snk communcaton s shown. The operatons at each state are escrbe n etal. 1. Start-Up State: When establshng new connecton between sener an recever, the sener transports a probe packet towars the recever to capture the avalable transmsson rate quckly. Each ntermeate noe between the sener an recever ntercepts the probe packet an upates the bottleneck elay el o the probe packet, the current value o elay normaton s hgher than that o the ntermeate noe. Start up State t = RTT Hol CN=0 R_ R_c bk CN =1 Probe R_>R_c Increase No_bk Decrease CN=1 Fgure2 RRRT protocol state agram or Sub-snk/Sub-snk communcaton

11 Intally, the elay value o probe packet s assgne to zero. Thereore, ater one roun-trp-tme, the sener gets estmate rate eeback rom the recever, whch results n quck convergence to avalable transmsson rate. Furthermore, ths probng mechansm o start up phase s also apple ater route changes. 2. Steay State: Ths state conssts o our sub states: ) Increase, ) Decrease, ) Hol an v) Probe. In the ollowng, we escrbe the RRRT protocol operatons n each sub state: (a) Increase: In ths state, the sener ncreases ts transmsson rate accorng to the eeback comng rom the recever. Once an ncrease ecson or sener transmsson rate s taken, only m racton o the erence between transmsson rate eeback (R_ ) an sener current transmsson rate (R_c) s perorme. The approprate racton value ( m ) or the transmsson rate ncrease s obtane as ollows: I the hop count along the ata path s greater than or equal to 4 or that connecton, m s set to 4. Otherwse, the hop count s less than 4, then m s set to the actual hop count value along the path. The nherent spatal reuse property o unerlyng CSMA/CA base MAC protocol requres ths normalzaton n transmsson rate. (b) Decrease: In ths state, the sener reuces ts transmsson rate accorng to the eeback comng rom the recever. Note that the transmsson rate s ecrease untl the mnmum transmsson rate (R mn ) s reache. R mn represents the mnmum transmsson rate requrement to transer a certan amount o ata wthn event-toacton elay boun. R mn can be calculate as ollows: R mn B re2a where B represents the amount o packets that shoul be transmtte to the sub-snk an re2a s remanng event-to-acton ealne. (c) Hol: In ths state, the requre transmsson rate s reache. Sener oes not change the transmsson rate unless route alure or congeston occurs n the network.

12 () Probe: In ths state, the sener sens a probe packet to the recever so as to montor the avalable transmsson rate n the network as n start up phase. Overall, the RRRT protocol ynamcally shapes ata trac base on both elay bouns an the current contons o the network. Note that, n the protocol operaton, the sener ajusts ts transmsson rate n response to the rate eebacks rom the recever, whch are sent wth the pero ot bk. To prevent the sener rom over loong the network n case all the eeback packets rom the recever are lost, the RRRT protocol also perorms a multplcatve ecrease o transmsson rate or each eeback peros, n whch the sener oes not receve eeback rom the recever up to a maxmum o two eeback peros. Ater the secon eeback pero, the sener stll oes not receve any eeback packet, t enters nto probe state so as to montor the avalable transmsson rate n the network. In ths respect, the peros o eeback T bk an probe packets T p shoul be larger than one roun-trp-tme (RTT) an small enough to capture the network ynamcs. 5. RRRT Perormance Evaluaton 5.1 Sensor/Sub-snk Communcaton To evaluate the perormance o the RRRT protocol urng sensor-sub-snk communcaton, we evelope an evaluaton envronment usng J-Sm [6]. For sensor/sub-snk communcaton scenaro, the number o sources, sensor/sub-snk elay boun an tolerance level were selecte as n 81, 1s an 5%, respectvely. The event raus was xe at 45m. We run 10 experments or each smulaton conguraton. Each ata pont on the graphs s average over 10 smulaton runs. Moreover, n ths smulaton scenaro, the sub-snk noes, whch receve ata packets rom sensors, stop ther movements once they start to receve ata. To urther nvestgate RRRT protocol convergence results, we have compare RRRT protocol, ESRT [3], ATP [5], SPEED [7] protocols n terms o convergence tme to (Aequate relablty, No congeston) conton an total energy consumpton. The reason or comparson wth ESRT an ATP s that both o them are base on event transport relablty noton unlke the other transport layer protocols aressng conventonal ento-en relablty n WSNs. SPEED are a well known real tme communcaton protocol.

13 Convergence tme Energy consumpton(j) As shown n gure 3 an gure 4, the convergence tme an total energy consumpton o the RRRT protocol are much smaller than those o ESRT, ATP an SPEED or erent ntal network contons. Ths s because ESRT an ATP o not conser applcatonspecc elay bouns whle avong network congeston an ajustng reportng rate o sensor noes ESRT ATP SPEED RRRT ATP ESRT SPEED RRRT Frequency Frequency Fgure 3 Convergence tme Fgure 4 Energy Consumpton 5.2 Sub-snk/Sub-snk Communcaton For sub-snk/sub-snk communcaton scenaro, the perormance o the RRRT protocol s evaluate an compare aganst ESRT [3], ATP [5] an SPEED [7]. The man perormance metrcs that we employ to measure the perormance o the RRRT protocol are aggregate throughput an average packet elay. Here, the aggregate throughput relects the number o packets successully receve at the estnaton. By average packet elay, we reer to average latency o ata packets urng sub-snk/sub-snk communcaton. All the smulatons last or 1000 s. We run 10 experments or each smulaton conguraton an each ata pont on the graphs s average over 10 smulaton runs. In Fgure 5, we present the aggregate throughput results o the RRRT protocol an other a hoc transport protocols,.e. ATP, ESRT an SPEED. In terms o aggregate throughput, the RRRT protocol outperorms other transport protocols uner comparson, snce RRRT ynamcally shapes ata trac accorng to the channel conton an ntermeate noe eebacks. In Fgure 6, we also show the average packet elay results

14 Throughput(Kbps) Average Delay(s) o the RRRT an the other transport protocols. As shown n Fgure 6, or all smulaton conguratons, the average packet elay values o RRRT are much lower than those o other protocols, snce RRRT captures the avalable banwth n the network quckly an oes not allow a burst o packet transmssons wth explct congeston notcaton an rate eeback base mechansms ATP ESRT SPEED RRRT ATP ESRT SPEED RRRT Maxmum Spee Maxmum Spee Fgure 5 Throughput Fgure 6 Average Delay 6. Conclusons In ths paper a real-tme an relable transport RRRT protocol was propose to aress the communcaton challenges ntrouce by the coexstence o sensors/sub-snks n WSNs. The RRRT protocol s a novel transport soluton that seeks to acheve relable an tmely event etecton wth mnmum possble energy consumpton. It nclues a combne congeston control mechansm that serves the ual purpose o achevng relablty an conservng energy. The RRRT protocol operaton s etermne by the current network state base on the elay-constrane event relablty an congeston conton n the network. The RRRT uses a ault tolerant optmal path or ata elvery. I the elay-constrane event relablty s lower than requre, RRRT ajusts the reportng requency o source noes aggressvely to reach the esre relablty level as soon as possble. I the relablty s hgher than requre, then RRRT reuces the reportng requency conservatvely to conserve energy whle stll mantanng relablty. Ths sel congurng nature o RRRT makes t robust to ranom, ynamc topology n WSANs. Furthermore, to aress the erent relablty requrements o sub-snk-sub-

15 snk communcaton, RRRT ncorporates aaptve rate-base transmsson control an (SACK)-base relablty mechansm urng sub-snk-sub-snk communcaton. Perormance evaluaton va smulaton experments shows that RRRT acheves hgh perormance n terms o relable event etecton, communcaton latency an energy consumpton n WSNs. Reerences [1] Akylz, I. F., Meloa, T., an Chowhury, K., A Survey on Wreless Multmea Sensor Networks, Computer Networks (Elsever), vol. 51, pp , March [2] Vrman,D., Jan,S., Fault Tolerant Optmal Path or Data Delvery n Wreless Sensor Networks, Acm Dgtal Lbrary, o: / ,pp-7-12, June [3] Akan, O. an Akylz, I. F., Event-to-Snk Relable Transport n Wreless Sensor Networks," IEEE/ACM Transactons on Networkng, vol. 13, pp , October [4] Vuran, M. C., Akan, O. B., an Akylz, I. F., Spato-Temporal Correlaton: Theory an Applcatons or Wreless Sensor Networks," Computer Networks Journal (Elsever), vol. 45, pp , June [5] Sunaresan, K., Anantharaman, V., Hseh, H.-Y., an Svakumar, R., ATP: A Relable Transport Protocol or A-hoc Networks," n Proceengs o ACM MOBIHOC 2003, (Annapols, MD USA), June [6] The Java Network Smulator, J-sm-2. January [7] Tan He, John A Stankovc, Chenyang Lu, an Tarek Abelzaher. SPEED: A stateless protocol or real-tme communcaton n sensor networks. Internatonal Conerence on Dstrbute Computng Systems (ICDCS 2003) May 2003.

Efficient Load-Balanced IP Routing Scheme Based on Shortest Paths in Hose Model. Eiji Oki May 28, 2009 The University of Electro-Communications

Efficient Load-Balanced IP Routing Scheme Based on Shortest Paths in Hose Model. Eiji Oki May 28, 2009 The University of Electro-Communications Effcent Loa-Balance IP Routng Scheme Base on Shortest Paths n Hose Moel E Ok May 28, 2009 The Unversty of Electro-Communcatons Ok Lab. Semnar, May 28, 2009 1 Outlne Backgroun on IP routng IP routng strategy

More information

Real Time Communication Capacity for Data Delivery in Wireless Sensor Networks

Real Time Communication Capacity for Data Delivery in Wireless Sensor Networks Real Tme Communcaton Capacty for ata elvery n Wreless Sensor etworks eepal Vrman an Satbr Jan epartment of CSE, BPIT, GGSIPU, elh, Ina, 85. eepalvrman@gmal.com epartment of CSE, SIT, U, elh, Ina, 3. Jan_satbr@yahoo.com

More information

The Objective Function Value Optimization of Cloud Computing Resources Security

The Objective Function Value Optimization of Cloud Computing Resources Security Open Journal of Optmzaton, 2015, 4, 40-46 Publshe Onlne June 2015 n ScRes. http://www.scrp.org/journal/ojop http://x.o.org/10.4236/ojop.2015.42005 The Objectve Functon Value Optmzaton of Clou Computng

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

Learning Depth from Single Still Images: Approximate Inference 1

Learning Depth from Single Still Images: Approximate Inference 1 Learnng Depth from Sngle Stll Images: Approxmate Inference 1 MS&E 211 course project Ashutosh Saxena, Ilya O. Ryzhov Channng Wong, Janln Wang June 7th, 2006 1 In ths report, Saxena, et. al. [1] somethng

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

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

Performance Comparison of a QoS Aware Routing Protocol for Wireless Sensor Networks

Performance Comparison of a QoS Aware Routing Protocol for Wireless Sensor Networks Communcatons and Network, 2016, 8, 45-55 Publshed Onlne February 2016 n ScRes. http://www.scrp.org/journal/cn http://dx.do.org/10.4236/cn.2016.81006 Performance Comparson of a QoS Aware Routng Protocol

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

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

Cluster Analysis of Electrical Behavior

Cluster Analysis of Electrical Behavior Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School

More information

DECA: distributed energy conservation algorithm for process reconstruction with bounded relative error in wireless sensor networks

DECA: distributed energy conservation algorithm for process reconstruction with bounded relative error in wireless sensor networks da Rocha Henrques et al. EURASIP Journal on Wreless Communcatons and Networkng (2016) 2016:163 DOI 10.1186/s13638-016-0662-9 RESEARCH Open Access DECA: dstrbuted energy conservaton algorthm for process

More information

Network Coding as a Dynamical System

Network Coding as a Dynamical System Network Codng as a Dynamcal System Narayan B. Mandayam IEEE Dstngushed Lecture (jont work wth Dan Zhang and a Su) Department of Electrcal and Computer Engneerng Rutgers Unversty Outlne. Introducton 2.

More information

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS ARPN Journal of Engneerng and Appled Scences 006-017 Asan Research Publshng Network (ARPN). All rghts reserved. NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS Igor Grgoryev, Svetlana

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

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

An Energy-Efficient Framework for Multi-Rate Query in Wireless Sensor Networks

An Energy-Efficient Framework for Multi-Rate Query in Wireless Sensor Networks An Energy-Ecent Framework or Mult-Rate Query n Wreless Sensor Networks Yngwen Chen,, Hong Va Leong, Mng Xu, Jannong Cao, Keth C.C Chan, and Alvn T.S Chan School o Computer, Natonal Unversty o Deense Technology,

More information

Channel 0. Channel 1 Channel 2. Channel 3 Channel 4. Channel 5 Channel 6 Channel 7

Channel 0. Channel 1 Channel 2. Channel 3 Channel 4. Channel 5 Channel 6 Channel 7 Optmzed Regonal Cachng for On-Demand Data Delvery Derek L. Eager Mchael C. Ferrs Mary K. Vernon Unversty of Saskatchewan Unversty of Wsconsn Madson Saskatoon, SK Canada S7N 5A9 Madson, WI 5376 eager@cs.usask.ca

More information

The Performance of Checkpointing and Replication Schemes for Fault Tolerant Mobile Agent Systems

The Performance of Checkpointing and Replication Schemes for Fault Tolerant Mobile Agent Systems The Performance of Checkpontng an Replcaton Schemes for Fault Tolerant Moble Agent Systems Taesoon Park an Ilsoo Byun Sejong Unversty Department of Computer Engneerng Seoul 143-747, KOREA tspark,weps @sejong.ac.kr

More information

Evaluation of an Enhanced Scheme for High-level Nested Network Mobility

Evaluation of an Enhanced Scheme for High-level Nested Network Mobility IJCSNS Internatonal Journal of Computer Scence and Network Securty, VOL.15 No.10, October 2015 1 Evaluaton of an Enhanced Scheme for Hgh-level Nested Network Moblty Mohammed Babker Al Mohammed, Asha Hassan.

More information

MODULE - 9 LECTURE NOTES 1 FUZZY OPTIMIZATION

MODULE - 9 LECTURE NOTES 1 FUZZY OPTIMIZATION Water Resources Systems Plannng an Management: vance Tocs Fuzzy Otmzaton MODULE - 9 LECTURE NOTES FUZZY OPTIMIZTION INTRODUCTION The moels scusse so far are crs an recse n nature. The term crs means chotonomous.e.,

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

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

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

Positive Semi-definite Programming Localization in Wireless Sensor Networks

Positive Semi-definite Programming Localization in Wireless Sensor Networks Postve Sem-defnte Programmng Localzaton n Wreless Sensor etworks Shengdong Xe 1,, Jn Wang, Aqun Hu 1, Yunl Gu, Jang Xu, 1 School of Informaton Scence and Engneerng, Southeast Unversty, 10096, anjng Computer

More information

Contention-Based Beaconless Real-Time Routing Protocol for Wireless Sensor Networks*

Contention-Based Beaconless Real-Time Routing Protocol for Wireless Sensor Networks* Wreless Sensor Network, 2010, 2, 528-537 do:10.4236/wsn.2010.27065 Publshed Onlne July 2010 (http://www.scrp.org/journal/wsn) Contenton-Based Beaconless Real-Tme Routng Protocol for Wreless Sensor Networks*

More information

Fair and Scalable Load Distribution in the Internet

Fair and Scalable Load Distribution in the Internet Proc. 3rd Internatonal Conerence on Internet Computng, Las Vegas, NV (June 2002), pp. 201-208. Far and Scalable Load Dstrbuton n the Internet Vasl Hnatyshn and Adarshpal S. Seth Department o Computer and

More information

A Strategy for Optimal Placement of Virtual Machines in IAAS Clouds

A Strategy for Optimal Placement of Virtual Machines in IAAS Clouds A Strategy for Optmal Placement of Vrtual Machnes n IAAS Clous Raalakshm Shenbaga Moorthy, Assstant Professor, Department of Computer Scence an Engneerng, St.Joseph s Insttute of Technology, Chenna Abstract

More information

High Performance DiffServ Mechanism for Routers and Switches: Packet Arrival Rate Based Queue Management for Class Based Scheduling

High Performance DiffServ Mechanism for Routers and Switches: Packet Arrival Rate Based Queue Management for Class Based Scheduling Hgh Performance DffServ Mechansm for Routers and Swtches: Packet Arrval Rate Based Queue Management for Class Based Schedulng Bartek Wydrowsk and Moshe Zukerman ARC Specal Research Centre for Ultra-Broadband

More information

MobileGrid: Capacity-aware Topology Control in Mobile Ad Hoc Networks

MobileGrid: Capacity-aware Topology Control in Mobile Ad Hoc Networks MobleGrd: Capacty-aware Topology Control n Moble Ad Hoc Networks Jle Lu, Baochun L Department of Electrcal and Computer Engneerng Unversty of Toronto {jenne,bl}@eecg.toronto.edu Abstract Snce wreless moble

More information

an assocated logc allows the proof of safety and lveness propertes. The Unty model nvolves on the one hand a programmng language and, on the other han

an assocated logc allows the proof of safety and lveness propertes. The Unty model nvolves on the one hand a programmng language and, on the other han UNITY as a Tool for Desgn and Valdaton of a Data Replcaton System Phlppe Quennec Gerard Padou CENA IRIT-ENSEEIHT y Nnth Internatonal Conference on Systems Engneerng Unversty of Nevada, Las Vegas { 14-16

More information

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points;

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points; Subspace clusterng Clusterng Fundamental to all clusterng technques s the choce of dstance measure between data ponts; D q ( ) ( ) 2 x x = x x, j k = 1 k jk Squared Eucldean dstance Assumpton: All features

More information

Faces Recognition with Image Feature Weights and Least Mean Square Learning Approach

Faces Recognition with Image Feature Weights and Least Mean Square Learning Approach Faces Recognton wth Image Feature Weghts an Least Mean Square Learnng Approach We-L Fang, Yng-Kue Yang an Jung-Kue Pan Dept. of Electrcal Engneerng, Natonal Tawan Un. of Sc. & Technology, Tape, Tawan Emal:

More information

IAENG International Journal of Computer Science, 40:4, IJCS_40_4_05. Task Mapping and Scheduling in Wireless Sensor Networks. M. H. A.

IAENG International Journal of Computer Science, 40:4, IJCS_40_4_05. Task Mapping and Scheduling in Wireless Sensor Networks. M. H. A. Task Mappng and Schedulng n Wreless Sensor Networks M. H. A. Awadalla Abstract Collaboratve processng among sensors to fulfll gven tasks s a promsng soluton to save sgnfcant energy n resource - lmted wreless

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

BAIMD: A Responsive Rate Control for TCP over Optical Burst Switched (OBS) Networks

BAIMD: A Responsive Rate Control for TCP over Optical Burst Switched (OBS) Networks AIMD: A Responsve Rate Control for TCP over Optcal urst Swtched (OS) Networks asem Shhada 1, Pn-Han Ho 1,2, Fen Hou 2 School of Computer Scence 1, Electrcal & Computer Engneerng 2 U. of Waterloo, Waterloo,

More information

Long Lifetime Routing in Unreliable Wireless Sensor Networks

Long Lifetime Routing in Unreliable Wireless Sensor Networks 211 Internatonal Conference on Networkng, Sensng and Control Delft, the Netherlands, 11-13 Aprl 211 Long Lfetme Routng n Unrelable Wreless Sensor Networks Hamed Yousef, Mohammad Hossen Yeganeh, Al Movaghar

More information

Dynamic Critical-Path Task Mapping and Scheduling for Collaborative In-Network Processing in Multi-Hop Wireless Sensor Networks

Dynamic Critical-Path Task Mapping and Scheduling for Collaborative In-Network Processing in Multi-Hop Wireless Sensor Networks Dynamc Crtcal-Path Task Mappng and Schedulng for Collaboratve In-Network Processng n Mult-Hop Wreless Sensor Networks Yuan Tan, Yaoyao Gu, Eylem Ekc, and Füsun Özgüner Department of Electrcal and Computer

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

Extending Network Life by Using Mobile Actors in Cluster-based Wireless Sensor and Actor Networks

Extending Network Life by Using Mobile Actors in Cluster-based Wireless Sensor and Actor Networks Extendng Networ Lfe by Usng Moble Actors n Cluster-based Wreless Sensor and Actor Networs Nauman Aslam, Wllam Phllps, Wllam Robertson and S. Svaumar Department of Engneerng Mathematcs & Internetworng Dalhouse

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

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

Reducing Load Distribution Overhead With Message Aggregation

Reducing Load Distribution Overhead With Message Aggregation roc. ICCC-2003, 22 nd IEEE Internatonal erormance Computng and Communcatons Conerence, hoenx, AZ (Aprl 2003), pp. 227-234. Reducng Load Dstrbuton Overhead Wth Message Aggregaton Vasl Hnatyshn and Adarshpal

More information

High Utility Video Surveillance System on Public Transport using WiMAX technology

High Utility Video Surveillance System on Public Transport using WiMAX technology Edth Cowan Unversty Research Onlne ECU Publcatons Pre. 2011 2010 Hgh Utlty Vdeo Survellance System on Publc Transport usng WMAX technology Iftekhar Ahmad Edth Cowan Unversty Daryoush Habb Edth Cowan Unversty

More information

Resource and Virtual Function Status Monitoring in Network Function Virtualization Environment

Resource and Virtual Function Status Monitoring in Network Function Virtualization Environment Journal of Physcs: Conference Seres PAPER OPEN ACCESS Resource and Vrtual Functon Status Montorng n Network Functon Vrtualzaton Envronment To cte ths artcle: MS Ha et al 2018 J. Phys.: Conf. Ser. 1087

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

Priority Enabled Transport Layer Protocol for Wireless Sensor Network

Priority Enabled Transport Layer Protocol for Wireless Sensor Network 2010 IEEE 24th Internatonal Conference on Advanced Informaton Networkng and Applcatons Workshops Prorty Enabled Transport Layer Protocol for Wreless Sensor Network 1 Atf Sharf, 2 Vdyasagar Potdar Dgtal

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

Method of Wireless Sensor Network Data Fusion

Method of Wireless Sensor Network Data Fusion Method of Wreless Sensor Network Data Fuson https://do.org/10.3991/joe.v1309.7589 L-l Ma!! ", Jang-png Lu Inner Mongola Agrcultural Unversty, Hohhot, Inner Mongola, Chna lujangpng@mau.edu.cn J-dong Luo

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

Comparison of Heuristics for Scheduling Independent Tasks on Heterogeneous Distributed Environments

Comparison of Heuristics for Scheduling Independent Tasks on Heterogeneous Distributed Environments Comparson of Heurstcs for Schedulng Independent Tasks on Heterogeneous Dstrbuted Envronments Hesam Izakan¹, Ath Abraham², Senor Member, IEEE, Václav Snášel³ ¹ Islamc Azad Unversty, Ramsar Branch, Ramsar,

More information

Internet Traffic Managers

Internet Traffic Managers Internet Traffc Managers Ibrahm Matta matta@cs.bu.edu www.cs.bu.edu/faculty/matta Computer Scence Department Boston Unversty Boston, MA 225 Jont work wth members of the WING group: Azer Bestavros, John

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

with `ook-ahead for Broadcast WDM Networks TR May 14, 1996 Abstract

with `ook-ahead for Broadcast WDM Networks TR May 14, 1996 Abstract HPeR-`: A Hgh Performance Reservaton Protocol wth `ook-ahead for Broadcast WDM Networks Vjay Svaraman George N. Rouskas TR-96-06 May 14, 1996 Abstract We consder the problem of coordnatng access to the

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

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

NETWORK LIFETIME AND ENERGY EFFICIENT MAXIMIZATION FOR HYBRID WIRELESS NETWORK

NETWORK LIFETIME AND ENERGY EFFICIENT MAXIMIZATION FOR HYBRID WIRELESS NETWORK NETWORK LIFETIME AND ENERGY EFFICIENT MAXIMIZATION FOR HYBRID WIRELESS NETWORK Prasana kumar. S 1, Deepak.N 2, Tajudeen. H 3, Sakthsundaram. G 4 1,2,3,4Student, Department of Electroncs and Communcaton,

More information

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,

More information

A Decentralized Lifetime Maximization Algorithm for Distributed Applications in Wireless Sensor Networks

A Decentralized Lifetime Maximization Algorithm for Distributed Applications in Wireless Sensor Networks A Decentralzed Lfetme Maxmzaton Algorthm for Dstrbuted Applcatons n Wreless Sensor Networks Vrgna Pllon, Mauro Franceschell, Lug Atzor, Alessandro Gua Dept. of Electrcal and Electronc Engneerng, Unversty

More information

Performance Analysis of IEEE e Time Slotted Channel Hopping for Low-Rate Wireless Networks

Performance Analysis of IEEE e Time Slotted Channel Hopping for Low-Rate Wireless Networks KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS VOL. 7, NO., Jan 203 Copyrght c 203 KSII Performance Analyss of IEEE 802.5.4e Tme Slotte Channel Hoppng for Low-Rate Wreless Networks Shuguang Chen,

More information

GTP: Group Transport Protocol for Lambda-Grids

GTP: Group Transport Protocol for Lambda-Grids GTP: Group Transport Protocol for Lambda-Grds Ryan X. Wu and Andrew A. Chen Department of Computer Scence and Engneerng Unversty of Calforna, San Dego {xwu, achen}@ucsd.edu Abstract The noton of lambda-grds

More information

FACE RECOGNITION TECHNIQUE BASED ON ADAPTIVE-OPPOSITION PARTICLE SWARM OPTIMIZATION (AOPSO) AND SUPPORT VECTOR MACHINE (SVM)

FACE RECOGNITION TECHNIQUE BASED ON ADAPTIVE-OPPOSITION PARTICLE SWARM OPTIMIZATION (AOPSO) AND SUPPORT VECTOR MACHINE (SVM) ARPN Journal o Engneerng an Apple Scences 2006-2018 Asan Research Publshng Network (ARPN). All rghts reserve. FACE RECOGNITION TECHNIQUE BASED ON ADAPTIVE-OPPOSITION PARTICLE SWARM OPTIMIZATION (AOPSO)

More information

PERFORMANCE EVALUATION OF VOICE OVER IP USING MULTIPLE AUDIO CODEC SCHEMES

PERFORMANCE EVALUATION OF VOICE OVER IP USING MULTIPLE AUDIO CODEC SCHEMES ISSN 1819-668 www.arpnjournals.com PERFORMANCE EVALUATION OF VOICE OVER IP USING MULTIPLE AUDIO CODEC SCHEMES L. Audah 1, A.A.M. Kamal 1, J. Abdullah 1, S.A. Hamzah 1 and M.A.A. Razak 2 1 Optcal Communcaton

More information

Reversible Digital Watermarking

Reversible Digital Watermarking Reversble Dgtal Watermarkng Chang-Tsun L Department of Computer Scence Unversty of Warwck Multmea Securty an Forenscs 1 Reversble Watermarkng Base on Dfference Expanson (DE) In some mecal, legal an mltary

More information

Constructing Minimum Connected Dominating Set: Algorithmic approach

Constructing Minimum Connected Dominating Set: Algorithmic approach Constructng Mnmum Connected Domnatng Set: Algorthmc approach G.N. Puroht and Usha Sharma Centre for Mathematcal Scences, Banasthal Unversty, Rajasthan 304022 usha.sharma94@yahoo.com Abstract: Connected

More information

Load-Balanced Anycast Routing

Load-Balanced Anycast Routing Load-Balanced Anycast Routng Chng-Yu Ln, Jung-Hua Lo, and Sy-Yen Kuo Department of Electrcal Engneerng atonal Tawan Unversty, Tape, Tawan sykuo@cc.ee.ntu.edu.tw Abstract For fault-tolerance and load-balance

More information

Design and Analysis of Algorithms

Design and Analysis of Algorithms Desgn and Analyss of Algorthms Heaps and Heapsort Reference: CLRS Chapter 6 Topcs: Heaps Heapsort Prorty queue Huo Hongwe Recap and overvew The story so far... Inserton sort runnng tme of Θ(n 2 ); sorts

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

Related-Mode Attacks on CTR Encryption Mode

Related-Mode Attacks on CTR Encryption Mode Internatonal Journal of Network Securty, Vol.4, No.3, PP.282 287, May 2007 282 Related-Mode Attacks on CTR Encrypton Mode Dayn Wang, Dongda Ln, and Wenlng Wu (Correspondng author: Dayn Wang) Key Laboratory

More information

Needed Information to do Allocation

Needed Information to do Allocation Complexty n the Database Allocaton Desgn Must tae relatonshp between fragments nto account Cost of ntegrty enforcements Constrants on response-tme, storage, and processng capablty Needed Informaton to

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

SLA-Based Inter-Domain QoS Routing

SLA-Based Inter-Domain QoS Routing SLA-Base Inter-Doman QoS Routng Ru Pror 1 an Susana Sargento 2 1 LIACC Unversty of Porto Portugal 2 Insttuto e Telecomuncações Unversty of Avero Portugal rpror@ncc.up.pt ssargento@et.ua.pt Abstract Ths

More information

3. CR parameters and Multi-Objective Fitness Function

3. CR parameters and Multi-Objective Fitness Function 3 CR parameters and Mult-objectve Ftness Functon 41 3. CR parameters and Mult-Objectve Ftness Functon 3.1. Introducton Cogntve rados dynamcally confgure the wreless communcaton system, whch takes beneft

More information

Prioritizing Information for Achieving QoS Control in WSN

Prioritizing Information for Achieving QoS Control in WSN 2010 24th IEEE Internatonal Conference on Advanced Informaton Networkng and Applcatons Prortzng Informaton for Achevng os Control n WSN 1 Atf Sharf, 2 Vdyasagar Potdar Dgtal Ecosystems and Busness Intellgence

More information

Concurrent Apriori Data Mining Algorithms

Concurrent Apriori Data Mining Algorithms Concurrent Apror Data Mnng Algorthms Vassl Halatchev Department of Electrcal Engneerng and Computer Scence York Unversty, Toronto October 8, 2015 Outlne Why t s mportant Introducton to Assocaton Rule Mnng

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

AUTONOMOUS ROUTING ALGORITHMS FOR NETWORKS WITH WIDE-SPREAD FAILURES

AUTONOMOUS ROUTING ALGORITHMS FOR NETWORKS WITH WIDE-SPREAD FAILURES AUTONOMOUS ROUTNG ALGORTHMS FOR NETWORKS WTH WDE-SPREAD FALURES Wajahat Khan, Long Bao Le and Eytan Modano Communcatons and Networkng Research Group Massachusetts nsttute of Technology Cambrdge, MA, USA

More information

Wireless Sensor Network Localization Research

Wireless Sensor Network Localization Research Sensors & Transducers 014 by IFSA Publshng, S L http://wwwsensorsportalcom Wreless Sensor Network Localzaton Research Lang Xn School of Informaton Scence and Engneerng, Hunan Internatonal Economcs Unversty,

More information

Mobile Adaptive Distributed Clustering Algorithm for Wireless Sensor Networks

Mobile Adaptive Distributed Clustering Algorithm for Wireless Sensor Networks Internatonal Journal of Computer Applcatons (975 8887) Volume No.7, Aprl Moble Adaptve Dstrbuted Clusterng Algorthm for Wreless Sensor Networks S.V.Mansekaran Department of Informaton Technology Anna Unversty

More information

Research Paper A UNIFIED FRAMEWORK FOR MULTI-OBJECTIVE TEST CASE PRIORITIZATION IN REGRESSION TESTING Lilly Raamesh

Research Paper A UNIFIED FRAMEWORK FOR MULTI-OBJECTIVE TEST CASE PRIORITIZATION IN REGRESSION TESTING Lilly Raamesh Research Paper A UNIFIED FRAMEWORK FOR MULTI-OBJECTIVE TEST CASE PRIORITIZATION IN REGRESSION TESTING Llly Raamesh Aress for Corresponence Department of I.T, St. Joseph s College of Engneerng, Ol Mamallapuram

More information

A Fast Content-Based Multimedia Retrieval Technique Using Compressed Data

A Fast Content-Based Multimedia Retrieval Technique Using Compressed Data A Fast Content-Based Multmeda Retreval Technque Usng Compressed Data Borko Furht and Pornvt Saksobhavvat NSF Multmeda Laboratory Florda Atlantc Unversty, Boca Raton, Florda 3343 ABSTRACT In ths paper,

More information

Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / 2003 Elsevier

Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / 2003 Elsevier Some materal adapted from Mohamed Youns, UMBC CMSC 611 Spr 2003 course sldes Some materal adapted from Hennessy & Patterson / 2003 Elsever Scence Performance = 1 Executon tme Speedup = Performance (B)

More information

IJCTA Nov-Dec 2016 Available

IJCTA Nov-Dec 2016 Available Dr K Santh et al, Internatonal Journal of Computer Technology & Applcatons,Vol 7(6),773-779 Optmzed Route Technque for DSR Routng Protocol n MANET Dr.K.Santh, Assocate Professor, Dept. of Computer Scence,

More information

SPEED: A Stateless Protocol for Real-Time Communication in Sensor Networks

SPEED: A Stateless Protocol for Real-Time Communication in Sensor Networks Internatonal Conference on Dstrbuted Computng Systems ICDCS 2003 : A Stateless Protocol for Real-Tme Communcaton n Sensor Networks Tan He a John A Stankovc a Chenyang Lu b Tarek Abdelzaher a a Department

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

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

A New Token Allocation Algorithm for TCP Traffic in Diffserv Network

A New Token Allocation Algorithm for TCP Traffic in Diffserv Network A New Token Allocaton Algorthm for TCP Traffc n Dffserv Network A New Token Allocaton Algorthm for TCP Traffc n Dffserv Network S. Sudha and N. Ammasagounden Natonal Insttute of Technology, Truchrappall,

More information

A Reliable and Real-Time AggregationAaware Data Dissemination in a Chain- Based Wireless Sensor Network

A Reliable and Real-Time AggregationAaware Data Dissemination in a Chain- Based Wireless Sensor Network SENSORCOMM 2012 : The Sxth Internatonal Conference on Sensor Technologes and Applcatons A Relable and Real-Tme AggregatonAaware Data Dssemnaton n a Chan- Based Wreless Sensor Network Zahra Taghkhak, Nrvana

More information

Ad Hoc Networks 11 (2013) Contents lists available at SciVerse ScienceDirect. Ad Hoc Networks

Ad Hoc Networks 11 (2013) Contents lists available at SciVerse ScienceDirect. Ad Hoc Networks Ad Hoc Networks 11 (213) 1136 1149 Contents lsts avalable at ScVerse ScenceDrect Ad Hoc Networks journal homepage: www.elsever.com/locate/adhoc Generc predcton asssted sngle-copy routng n underwater delay

More information

Research of Dynamic Access to Cloud Database Based on Improved Pheromone Algorithm

Research of Dynamic Access to Cloud Database Based on Improved Pheromone Algorithm , pp.197-202 http://dx.do.org/10.14257/dta.2016.9.5.20 Research of Dynamc Access to Cloud Database Based on Improved Pheromone Algorthm Yongqang L 1 and Jn Pan 2 1 (Software Technology Vocatonal College,

More information

Ensuring Basic Security and Preventing Replay Attack in a Query Processing Application Domain in WSN

Ensuring Basic Security and Preventing Replay Attack in a Query Processing Application Domain in WSN Ensurng Basc Securty and Preventng Replay Attack n a Query Processng Applcaton Doman n WSN Amrta Ghosal 1, Subr Halder 1, Sanjb Sur 2, Avshek Dan 2, and Spra DasBt 2 1 Dept. of Comp. Sc. & Engg, Dr. B.

More information

Overview. Basic Setup [9] Motivation and Tasks. Modularization 2008/2/20 IMPROVED COVERAGE CONTROL USING ONLY LOCAL INFORMATION

Overview. Basic Setup [9] Motivation and Tasks. Modularization 2008/2/20 IMPROVED COVERAGE CONTROL USING ONLY LOCAL INFORMATION Overvew 2 IMPROVED COVERAGE CONTROL USING ONLY LOCAL INFORMATION Introducton Mult- Smulator MASIM Theoretcal Work and Smulaton Results Concluson Jay Wagenpfel, Adran Trachte Motvaton and Tasks Basc Setup

More information

CACHE MEMORY DESIGN FOR INTERNET PROCESSORS

CACHE MEMORY DESIGN FOR INTERNET PROCESSORS CACHE MEMORY DESIGN FOR INTERNET PROCESSORS WE EVALUATE A SERIES OF THREE PROGRESSIVELY MORE AGGRESSIVE ROUTING-TABLE CACHE DESIGNS AND DEMONSTRATE THAT THE INCORPORATION OF HARDWARE CACHES INTO INTERNET

More information

A New Transaction Processing Model Based on Optimistic Concurrency Control

A New Transaction Processing Model Based on Optimistic Concurrency Control A New Transacton Processng Model Based on Optmstc Concurrency Control Wang Pedong,Duan Xpng,Jr. Abstract-- In ths paper, to support moblty and dsconnecton of moble clents effectvely n moble computng envronment,

More information

Why Congestion Control. Congestion Control and Active Queue Management. TCP Congestion Control Behavior. Generic TCP CC Behavior: Additive Increase

Why Congestion Control. Congestion Control and Active Queue Management. TCP Congestion Control Behavior. Generic TCP CC Behavior: Additive Increase Congeston Control and Actve Queue Management Congeston Control, Effcency and Farness Analyss of TCP Congeston Control A smple TCP throughput formula RED and Actve Queue Management How RED works Flud model

More information

Applied Mathematics. Elixir Appl. Math. 84 (2015)

Applied Mathematics. Elixir Appl. Math. 84 (2015) 3341 V.Vnoba and S.M.Chthra/ Elxr Appl. Math. 84 (015) 3341-3349 Avalable onlne at www.elxrpublshers.com (Elxr Internatonal Journal) Appled Mathematcs Elxr Appl. Math. 84 (015) 3341-3349 Bayesan Inference

More information

A STUDY ON THE PERFORMANCE OF TRANSPORT PROTOCOLS COMBINING EXPLICIT ROUTER FEEDBACK WITH WINDOW CONTROL ALGORITHMS AARTHI HARNA TRIVESALOOR NARAYANAN

A STUDY ON THE PERFORMANCE OF TRANSPORT PROTOCOLS COMBINING EXPLICIT ROUTER FEEDBACK WITH WINDOW CONTROL ALGORITHMS AARTHI HARNA TRIVESALOOR NARAYANAN A STUDY ON THE PERFORMANCE OF TRANSPORT PROTOCOLS COMBINING EXPLICIT ROUTER FEEDBACK WITH WINDOW CONTROL ALGORITHMS By AARTHI HARNA TRIVESALOOR NARAYANAN Master of Scence n Computer Scence Oklahoma State

More information

AD hoc wireless networks consist of wireless nodes that

AD hoc wireless networks consist of wireless nodes that IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 5, NO. 6, JUNE 2006 1 Topology Control n Ad Hoc Wreless Networks Usng Cooperatve Communcaton Mhaela Carde, Member, IEEE, JeWu,Senor Member, IEEE, and Shuhu Yang

More information

Cost-Effective Lifetime Prediction Based Routing Protocol for Wireless Network

Cost-Effective Lifetime Prediction Based Routing Protocol for Wireless Network Cost-Effectve Lfetme Predcton Based Routng Protocol for Wreless Network ABU MD. ZAFOR ALAM, MUHAMMAD ARIFUR RAHMAN, MOHAMMED ABUL HASAN 2,M. LUTFAR RAHMAN Faculty of Scence and IT, Daffodl Internatonal

More information

Gateway Algorithm for Fair Bandwidth Sharing

Gateway Algorithm for Fair Bandwidth Sharing Algorm for Far Bandwd Sharng We Y, Rupnder Makkar, Ioanns Lambadars Department of System and Computer Engneerng Carleton Unversty 5 Colonel By Dr., Ottawa, ON KS 5B6, Canada {wy, rup, oanns}@sce.carleton.ca

More information