TSEEC - TS/TDMA based Energy Efficient Congestion Control in Mobile Wireless Sensor Network
|
|
- Arron Byrd
- 5 years ago
- Views:
Transcription
1 , October 19-21, 2011, San Francsco, USA TSEEC - TS/TDMA based Energy Effcent Congeston Control n Moble Wreless Sensor Network Sohal Jabbar, Awas Ahmad, Ataul Azz Ikram, Murad Khan Abstract In past few years, a remarkable change has been faced n the feld of wreless sensor network moble sensor nodes. Congeston n the network and lmted energy causes delay n the network. Due to ths very reason, t has been now an oblgatory to ensure the approprate use of the gven resources. Savng the battery lfe, sagactc tme allocaton, mnmzng the communcaton delay, effectve congeston control and n some aspect managng the entrance and ext of nodes n a specfc cluster s the key ssue to be satsfed n an algorthm clamng to be effcent congeston control protocol for a moble wreless sensor network. To deal wth the sad confront, we proposed Congeston Control Protocol (CCP) for Moble Wreless Sensor Network. It uses the exstng TDMA technque wth combnaton of Statstcal Tme Dvson Multplexng (STDMA), wth enhanced newly proposed technque of Tme-Sharng TDMA (TS-TDMA) to avod congeston, saves energy and provdes effcency. Smultaneous effort of approachng the target not only causes the data loss due to congeston ssue but also results n squeezng the energy whch ultmately comes up wth reducng the network lfe tme. We have mplemented our work on Network Smulator (NS-2.27). The smulaton results shows that TSEEC performs well to avod congeston, saves energy and reduces delay n the network. Key Words: TS/TDMA, Congeston Control, CCP, STDMA I. INTRODUCTION Wreless Sensor Network uses a shared medum and the sensor nodes send data to ther neghborng nodes as well as to the cluster head at the same tme. Hence there are chances of creatng congeston resultng n energy wastage on the nodes as well as on the cluster head of the WSN. Sensors are the montorng and survellance devces manly consstng of sensng, processng, storage and power subsystems, deployed over a large geographcal area dependng upon the applcaton requrements. Ths dosyncratc technology of Manuscrpt receved Jul 15, 2011; revsed August 14, Correspondng authors: Sohal Jabbar s PhD Scholar under supervson of Dr. Abd Al Mnhas at Department of Appled Scences and Graduate Studes, Bahra Unversty Islamabad Pakstan (sabbar.research@gmal.com) Awas Ahmad s wth Department of Appled Scences and Graduate Studes, Bahra Unversty Islamabad Pakstan (Emal: awas.ahmad@lve.com) Ataul Azz Ikram s Head Of Department, Dept. of Computng and Technology (Emal: ata.ul.azz@gmal.com) Murad Khan s wth Iqra Unversty Islamabad, Pakstan (Emal: muradkhan23@gmal.com) wreless sensor network has ts applcaton n Glacer montorng [1], volcano montorng and tunnel montorng and rescue, snper localzaton, ocean water and bed montorng, rescue of avalanche vctms, trackng vehcles, wldlfe montorng, cattle herdng, vtal sgn montorng and cold chan montorng [2]. Energy s an mportant resource for WSNs and t plays an mportant role n communcatng nformaton packets between dfferent nodes n the network. Congeston n WSN s ether Node Level or Lnk Level. Former s caused by the overflow of node buffer due to the lack of capacty to store further packets. Later s due to too much nformaton packets beng sent on the channel by varous neghborng nodes. The nnovatve technque of TS- TDMA hybrd-protocol s a useful remedy for controllng both these traffc congestons, whch s dscussed n subsequent sectons: The STDMA uses a technque of statstcal measurement of the data load and energy requrements on each moble node, thereby helpng the moble nodes send data to the recever wthout NLC. The moble nodes share nformaton about ther respectve unque ID, packet load, energy level and locaton wth the statc Cluster Head; Usng the feedback from the nodes and the TDMA technque, the Cluster Head assgns tme slot to dfferent moble nodes; TS-TDMA (Tme-Sharng TDMA) s our new nnovatve technque that helps the moble nodes share ther allotted tme-slots among themselves dependng on whether a moble node has sensed any data or not. Cluster Head remans the coordnator. There are several defcences n the wreless sensor network where moble nodes are ultmate n the stuaton. Dfferent nodes move n zgzag drecton. Jonng and leavng clusters and communcate wth Cluster Head and neghborng nodes s a dffcult task. It causes dlemma of acqurng the channels as well as tme slots to avod congeston on snk node. In such condtons, many-to-one node communcaton establshes whch causes collson of packets [3]. Collson of packets leads consumng of extra energy for retransmttng of same packets. Whle workng on MAC layer, energy schemng s an mmense ssue. Huge amount of energy wasted when a node receve many packets from dfferent resources. So the destnaton node wll drop extra packets and the source node wll waste ts energy by sendng extra packets. We need such algorthm, whch preval over the lmtatons of the mentoned algorthm. The proposed
2 , October 19-21, 2011, San Francsco, USA algorthm, TSEEC mnmzes delay, avod congeston and mprove effcency of the network. The algorthm s tested wth dfferent traffc load n the network and showed our result n secton IV. Secton II comprses Lterature Survey, Secton III ncludes our proposed Network Model, and Secton IV s specfed for our proposed algorthm results. II. LITERATURE SURVEY There s always a room for mprovement. A commodty that s once consdered as 100% n ts demand s devalued to nothng later. Exstng protocol to control conservaton of energy, delay n the network and congeston n moble wreless sensor network are so n addressng ths problem. Congeston at cluster head creates overhead whch entals consderable amount of energy, packet loss and delay n the network. A network that s free from these lls must be able to assgn tme slots to dfferent moble nodes n the zone, and n each tme slot a partcular node should be actve for communcaton and performng the assgned task. There are varous protocols to avod congeston n wreless networks lke CSMA/CA n IEEE protocol for CR-WPAN whch s used to cover beacon enable mode n [3]. Cross layers termnology s used n order to share nformaton between dfferent protocol layers whch helps n ncreasng nterlayer nteractons. In ths scenaro one maor ssue has been found.e. nteracton of MAC and transport layer operaton results n collson as well as congeston are the maor problems n the source packet loss. Packet collson due to many-to-one traffc pattern under heavy traffc loads s dscussed n [4]. Energy effcent MAC protocol has been proposed, where, there are full sleep cycle at dfferent leaf nodes whch helps n mnmzng the load on leaf nodes n heavy traffc. In such envronment, the leaf node goes n to full sleep state for one complete cycle, ths leads to reducton of packet collson as well as reduce the consumpton of energy whch saves at low depth nodes. Robust Routng Algorthm wth Far Congeston Control (RRA-FCC) s presented n [5]. Ths algorthm s used for mnmzng the congeston at the snk node. Snk s a node to whch two or more devces send data at a tme, the challenge s the congeston. RRA-FCC s used to control congeston and thereby reserve energy for the network. A typcal wreless sensor network conssts of one or two snk nodes, but new research technques now enable to deploy tens to thousands of snk nodes n a regon. If we compare ths wth Ad- Hoc Network, the followng characterstcs have been notced. Lmted resources: lmted resources nclude energy processng capacty as well as memory to store sensed data. Low moblty: the general scenaro of WSN ncludes statc nodes however; there can be very few nodes whch can move n the envronment. Data centrc: data sensng s an mportant feature of WSN. The data has been sensed wthout knowng the IDs of whch the nodes set the data [5]. Several MAC protocols for wreless sensor network are dscussed and evaluated n [6]. It has been notced that by sensng and sendng data from one node to another node or from one node to the cluster head consumes consderable energy as compared to the computaton of data by sensor nodes or cluster head. Demkol et al. have also dscussed the factors that results n energy wastage at MAC layer. The mportant factor s congeston on snk node, where more than one node sends data at tme, whch results n droppng of the packet. After that, source needs to resend that amount of data agan. Ths retransmsson needs extra energy consumpton. Overhearng s a process when one node receves extra packets that are not requred. It means that the data has been broadcast over the network for one specfc node but other nodes also receve the same data as unwanted or extra packet. Idle lstenng s the process when the node s lstenng to a channel when dle that results n ncrease of traffc n the network. The last reason s over metng. Ths can be done by sendng packet to that node whch s not ready for ntake of the packet. To avod such crcumstances, a MAC layer protocol s requred preserver extra energy. Therefore, the proposed protocol named TSEEC whch deals wth the above mentoned drawbacks of the network. Varous protocols and algorthms regardng delay and congeston n the wreless sensor network n [7]. It dentfes lmted battery power as the man ssue n wreless sensor network functonng. As already dscussed, wreless nodes have lmted battery power. If deployed n an envronment where rechargng of these batteres s dffcult or mpossble, the WSN could fal. In TDMA based MAC protocol, tme slots have been arranged n sequence and assgned to each frame. TRAMA s the most mportant protocol used for energy effcency and avod collson n channel [8]. TRAMA s the TDMA based approach whch splts the tme nto two parts.e. random access protocols and scheduled access perod. Whle deployng wreless sensor nodes n any physcal envronment, the assgnment of cluster head s an mportant task. III. PROPOSED SOLUTION It s a dffcult ob to control congeston on the snk node n WSN due to always broadcast transmsson nature. Although transmsson s broadcast yet decodng can be uncast. Therefore, t s requred to desgn MAC protocol wth specal focusng on congeston control. Ths ultmately results prolong network lfetme. In partcular, our proposed soluton deals wth the energy conservaton, delay and effcency of the network. Tme Sharng-Tme Dvson Multple Access Protocol s presented as the mproved verson of TDMA, whch also havng the workng features of STDA a. Overvew Let us consder a sensor network consstng of n moble nodes deployed n x,y coordnates. Deployed topology conssts of moble sensor nodes grouped together n the form of clusters wth statc cluster head. Interested nodes to
3 , October 19-21, 2011, San Francsco, USA on the cluster are authentcated by the cluster head usng dstance rato between ther neghborng cluster heads. Jonng nodes are then assgned the tmeslots through Statstcal Tme Dvson Multple Access (STDMA) technque. Memory status (load of sensed data) and crtcalty of locaton of the respectve moble node are the tme slots assgnment parameters. ST/TDMA based Energy Effcent Congeston Control n Moble Wreless Sensor Network (TSEEC) specfcally targets the ssues lke delay, energy wastage, congeston and neffcent network. Two man strateges are there under the umbrella of TSEEC to cope up wth the delay ntroduced due to freeng up of allocated Tmeslots and above mentoned ssues: Load Based Allocaton (LBA) strategy and Tme Allocaton Lester (TAL) strategy. LBA s purely based on STDMA method of tme slot allocaton. The three fold nature of Tme Allocaton Lester (TAL) manpulates the free tme slots arse due to moble nodes onng and leavng the zone. Three modules n the paradgm of TAL assst ths workng that are, ) Extrcated Tme Allocaton (ETA) ) Shft Back Tme Allocaton (SBTA) ) escaped Tme Allocaton (STA). TAL has been used n order to provde effcency and to overcome the ssue of delay ntroduced caused by dfferent moble sensor nodes due to congeston on cluster head. The synergstc matng of STDMA and TAL strateges come up wth the reduced energy consumpton, effectvely and effcently tme allocaton, lessenng the communcaton delay between node and the cluster head and sagactc congeston control between the node and cluster/zone head. Overvew of TSEEC workng s also depcted n Fgure 1` b. Cluster Head Electon Explotng the self organzng capablty of sensor nodes, each node may know ts neghborng nodes as well as ts Cluster Head (CH). As the deployment s determnstc, so at ntal stage, selecton of CH s on hand. Due to the homogenous nature of nodes, the node havng the more neghbors s desgnated as Cluster Head (CH). Cluster Head s the man head of the cluster. Each node attaches tself to the CH on the bass of receved sgnal strength (RSSI). If a node receves nvtaton from more than one Cluster Heads then the followng crtera s followed: Sweght Sweght Where Sweght s weght or strength of receved sgnal of the nvtee CH. If Sweght Sweght Then the selecton s on the bass of Eweght Eweght Where Eweght s the weght of energy level of nvtee VH. If Eweght Eweght Then a random selecton s made. c. Load Based Allocaton Load Based Allocaton s mplemented on the true essence of statstcal tme dvson multple access (STDMA) technque. Status of memory and locaton s shared by the member nodes to the Cluster Head (CH). The node havng less memory (more data to be transmtted/more sensed data) and of more crtcal locaton s assgned the tme slots relatvely. Ths assgnment procedure s followed n the start and on the entrance of node to the zone. Although Moblty of the nodes makes ths tme slots assgnment process somewhat more burdensome to the cluster head, yet t s properly managed by the LBA n collaboraton wth TAL. TAL keep control of the free tme slots and assgn accordngly from the CH end. d. TS/TDMA Tme Sharng-Tme Dvson Multple Access s a technque of Hybrd nature. LBA s purely based on STDMA method of tme slot allocaton. Assgnment of tme slots to the cluster members s assgned by consderng the load of. After the cluster head formaton, the moble nodes send ther locaton, memory and energy values to CH. Assgned tme slots are based on prorty precedence order of ) memory ) battery and ) locaton. e. TAL Strateges The three-fold nature of TAL strategy manpulates the effects arsng out of moble nodes onng and leavng the zone. The three prongs of TAL are: Extrcated Tme Allocaton (ETA), Shft Back Tme Allocaton (SBTA) and Escaped Tme Allocaton (STA). () ETA: ETA handles the stuaton when there s no sensed data to be transmtted by non-cluster head and the assgned tme slot s consdered free. Tme freeng up by the sensor due to the absence of sensng consders two scenaros for ts utlzaton: a. Assgnng the free tme slots by the CH to the new entrant of the zone to partcpate n the communcaton process b. Assgnng the free tme slots by the CH to the exstng neghbor node of the free node. Ths technque wll occur when moble sensor node has no data to sense. Sometmes, t can also happen that when moble node senses the same data, so t s requred not to send the redundant data. Then t broadcast the message for ts neghbor to shft back tme slot as per empty tme slot whch has been left over due to no sensng or redundant data. At the same tme, when newly arrved moble node ons the cluster, so t wll also broadcast ts arrval to the cluster head, the remanng tme slot wll be allotted to newly arrved moble node. So bascally, tme freeng up by the sensor node due to the absence of sensng n a scenaro or redundant data, where a moble enterng the zone and there s no moble enterng the zone s handled by ETA. () SBTA: It happens when moble node leaves the current cluster. Frst t wll broadcast ts leavng state as well as
4 , October 19-21, 2011, San Francsco, USA tme slot to ts cluster head, and wll enters to ts neghborng cluster. The neghborng cluster head wll a lot tme slot as t were left over due to ETA. So SBTA conduces the tme released due to the node leavng the zone n the same scenaro as of ETA. () STA: The ncomng node whspers the lnk and updates the CH2 about ts status of new entrant. CH2 manages the tme n the followng way: a. Wat for completng the duty cycle of assgned tme slot to the cluster member nodes. And then assgn the tme slot to the new entrant based on the same crtera as was followed n the start of workng of algorthm. b. Assgn the saved tme slot taken from the unused to the new entrant. Ths strategy asssts n tme savng as well as energy conservaton. Free tme slots are avalable due to ) Leave of node ) Death of node ) No sensed data to be transmtted Hence the assgned tme slot become free from ther rearrangng by the nserton to the cycle for the new entrant or to the neghborng node by shftng ther startng tme of arranged tme slot back. General workng of SBTA s as follows. (a) If (a node has no data) (b) Then (c) t alert to cluster head (d) Cluster head shftback T of other nodes by a factor of t +1, t +2 (e) node (T of node ) (t +1 + t +2 ) Load (HTR) and a Hybrd Protocol of SMAC and n, whch nfluence overall network effcency and avod congeston. In our smulaton on NS2.27, we have consdered smulaton tme of 50 seconds wth smulaton area of 1000m*1000m and deployed 50 moble sensor nodes. The maxmum packet sze for transmsson s 100 bytes. In our smulaton, we have used two ray ground propagaton model whch consders the drect path as well as reflected path. There are two clusters n our scenaro; each cluster has 25 moble nodes wth statc cluster head. Each sensor node has 15J of energy. Dfferent moble nodes communcate through wreless channel. We have consdered MAC type and n n our scenaro n order to accomplsh better results n has typcally used for energy reservaton and congeston control. Wreless sensor nodes operate on batteres. One of the common applcatons of wreless sensor network s envronment montorng. We have deployed moble sensor nodes n adhoc manner. Due to ts lmted power, perodc and aperodc has been consdered of awake and sleep state, whch s based on our sad protocol of TSEEC. The man applcaton of MAC that we can dfferentate t from customary Wreless MAC -e has the energy conservaton and congeston control whch are the prmary goals. The use of n has been mplemented on cluster head so that t may communcate wth all sensor nodes wthout any congeston and also savng ts energy. All moble sensor node communcate through ther antenna. In our smulaton, we have used Omn-drectonal antenna, because t has to propagate sgnals n all drecton n equal power Deployment of Moble Sensor Nodes In Fgure 2, all the moble sensor nodes arranged themselves nto cluster. Before sensng any data, the nodes send ther locaton nformaton, battery lfe tme to cluster head to form approprate cluster for requrement of tme slots wth the help of STDMA. In ths Fgure there are 2 clusters, each wth 25 moble sensor nodes. Here, all the moble sensor nodes busy n sensng data. TDMA technque wll be appled wth the help of cluster head. The moble sensor nodes frst sense data and then forward t to cluster head as shown as n Fgure 2. Fgure1: Moble node leavng ts zone and enterng to neghborng zone IV. SIMULATION AND RESULT DISCUSSION For performance evaluaton of our proposed algorthm, TSEEC, Network Smulator (NS-2.27) s used. In our smulaton, we have calculated energy consumpton per node, Delay n Low Traffc Load (LTR) and Hgh Traffc Fgure 2: Deployment of Moble Sensor Nodes
5 , October 19-21, 2011, San Francsco, USA We performed smulaton n three aspects wth the same smulaton parameters as dscussed n frst part of secton IV and n table 1. Experment 1 shows the energy consumpton n (Joules) by each moble sensor node. The comparson of perodc and aperodc sleep schedule has been consdered Experment 2 gves us the result of energy consumpton by the cluster head wth the mplementaton of n. The energy consumpton has been acqured from dfferent states -e transmttng state, recevng state, lstenng state, sleep state and dle state. Experment 3 shows the comparson of two protocols embeddng n our proposed algorthm of TSEEC -e SMAC and n EXPERIMENT 1: The graph n Fgure 3 llustrates that wth smultaneous employment of perodc-sleep-state and TS-TDMA technques (as aganst the tradtonal TDMA technque) ndvdual nodes consume much less energy. Energy problem n sensor nodes s crtcal. It also saves the energy. The sad algorthm deals wth the above mentoned problem n the best way. It s cleared from the graph that the deployment of sensor nodes n perodc state gves us half good results as compared to a perodc state. In a perodc state, the sensor nodes are alve for long perod of tme and ths provdes productve results. Energy remaned balanced due to perodc state and we have followed ths algorthm n our proposed model of TSEEC. However wth aperodc state, very lmted amount of energy as well as sensor node s n resdual. Fgure 3: Energy Consumpton n each sensor node EXPERIMENT 2: We have mplemented n at back end.e. on cluster head n order to calculate ts energy level. All the nodes have 15 Joule energy; wthn that energy they have to communcate throughout the entre sesson. From the graph n Fgure 4, Cluster Head consumes less energy on communcatng wth one partcular sensor node. (Transmttng to one partcular sensor node), although CH consumes average energy whlst lstenng to all nodes as well as newly arrved node n that cluster. On the other hand, n recevng state, t shows that CH consumes much hgher energy due to recevng of maxmum number of data from dfferent nodes, newly arrved node n the cluster, processng of data and assgnng of tme slots to newly arrved tmeslots n STA case. Fgure 4: Energy status of IEEE n Consumed energy = Total Energy - Sum of energy n all states. C e = T E T S C e = 15J 9.2J C e = 5.8J C e s the level of energy consumpton of our entre scenaro. EXPERIMENT 3: Ths graph n Fgure 5 shows the delay n n and SMAC. We have mplemented two dfferent protocols n cluster (Sensor nodes and Cluster Head). We have confgured n on cluster head and around those sensor nodes SMAC s beng confgured. In SMAC protocol and IEEE n, consderable amount of delay has been found; combnng these two protocols n our network sgnfcantly reduces ths delay. The combne energy consumpton of the cluster head and moble sensor node s beng decreased. Hence we can prove from the above graph that hybrd network along wth TS-TDMA consumes less energy, has average latency and hgh effcency, whch helps n prolongng the network lfe tme wthout delay and congeston.
6 , October 19-21, 2011, San Francsco, USA Fgure 5: Delay/Tmngs n Hybrd Network From the above three experments, t s concluded that deployment of moble sensor nodes n any area wth the mplementaton of our proposed TSEEC protocol shows better results whle calculatng energy level by comparng dfferent attrbutes as well as mplementaton of n and SMAC n our scenaro. The resultant hybrd protocol on ts mplementaton n clustered based sensor network topology gves effcent results wth respect to above mentoned performance parameters n part paragraph of secton IV V. CONCLUSION In ths paper, we have dscussed varous avalable technques regardng congeston control, latency, delay and energy consumpton n WSN. We have also mplemented the nnovatve technque of TS-TDMA hybrd-protocol to avod congeston, reduce both delay and the resultant energy defcency. Secondly, allocaton of tme slots and sharng of tme slots amongst dfferent moble nodes and load balancng technque helps n mnmzng memory as well as extra energy wastage. The synergstc matng of TDMA wth Tme Sharng algorthm and STDMA results n energy consumpton, effectve and effcent tme allocaton, lessenng communcaton delay between node and the cluster head, and sagacous congeston control. We have mplemented our work on moble sensor nodes wth statc cluster head. We have seen ts results after mplementaton on NS-2.27 and for dervng graphs usng GNUPLOT functon has been made use of. TS-TDMA has been found to be the most suted soluton to deal wth maor bottlenecks n WSN communcaton.e. congeston, latency, energy consumpton, delay on moble nodes and cluster heads and overall effcency of the network. [2]. R. Rem-Vs, Cold chan management usng an ultra low power wreless sensor network. Boston, USA: WAMES 2004, June [3]. Radosveta Sokullu, Cagdas Donertas Combned effects of moblty, congeston and contenton on network performance for IEEE Based Networks. Computer and Informaton Scence, 2008, ISCIS 08, 23 rd Internatonal Symposum on Dgtal Obect Identfer: /ISCIS Publcaton Year 2008, Page(s): 1-5. [4]. Kyoungseok Oh, Seok Woo, Seokn and Kseon Km Improved energy effcency of DMAC wt perodc full sleep cycle for WSN wth heavy traffcs Intellgent Sensors, Sensors Networks and Informaton, 2007, ISSNIP 2007, 3 rd Internatonal Conference on Dgtal Obect Identfer /ISSNIP Publcaton year: 2007, Page(s): [5]. Yunlu Lu, Yuheng Lu, Juhua Pu and Zhang Xong A robust routng algorthm wth far congeston control n WSN. Computer Communcaton and Networks, 2008, ICCCN 08. Proceedngs of 17 th Internatonal Conference on Dgtal Obect Identfer: /ICCCN.2008.ECP.167. Publcaton year: 2008, Page(s): 1-4. [6]. Ilker Demkol, Cem Ersoy and Fath Alagoz MAC protocols for WSN: A Survey. Network Research Laboratory (NETLAB) of Computer Engneerng Department of Bogazc Unversty, Bebek, Istanbul, Turkey. [7]. Guseppe Anastas, Marco Cont, Maro D Francesco and Andrea Passarekka Energy conservaton n WSN: A Survey. AdHoc Networks 7 (2009) Journal [8]. V.Raendran, J.Garca-Luna Aceves, Energy-effcent collson-free medum access control for wreless sensor networks n: proc. ACM SenSys 2003, Los Angeles (USA) November 2003 REFERENCES [1]. H. K. Martnez and J. Stefanov, Glacsweb: A sensor web for glacers. Berln Germany: EWSN 2004, January 2004.
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 informationSimulation 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 informationIJCTA 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 informationMobile 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 informationRAP. 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 informationLoad 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 informationEfficient 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 informationCost-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 informationLayer Based and Energy-Balanced Clustering Protocol for Wireless Sensor Network
Sensors & Transducers 2013 by IFSA http://www.sensorsportal.com Layer Based and nergy-balanced Clusterng Protocol for Wreless Sensor Network 1 Yu HU, 2 Shu HAN 1 Measurng and Controllng Technology Insttute,
More informationPerformance 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 informationEvaluation 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 informationA 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 informationDistributed Resource Scheduling in Grid Computing Using Fuzzy Approach
Dstrbuted Resource Schedulng n Grd Computng Usng Fuzzy Approach Shahram Amn, Mohammad Ahmad Computer Engneerng Department Islamc Azad Unversty branch Mahallat, Iran Islamc Azad Unversty branch khomen,
More informationLoad-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 informationExtending 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 informationSimulator for Energy Efficient Clustering in Mobile Ad Hoc Networks
Smulator for Energy Effcent Clusterng n Moble Ad Hoc Networks Amt Kumar 1 Dhrendra Srvastav 2 and Suchsmta Chnara 3 Department of Computer Scence and Engneerng, Natonal Insttute of Technology, Rourkela,
More informationA 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 informationImprovement 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 informationContent Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers
IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth
More informationDECA: 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 informationA 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 informationA 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 informationTHere 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 informationConstructing 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 informationResearch Article Energy Efficient Interest Forwarding in NDN-Based Wireless Sensor Networks
Moble Informaton Systems Volume 2016, Artcle ID 3127029, 15 pages http://dx.do.org/10.1155/2016/3127029 Research Artcle Energy Effcent Interest Forwardng n NDN-Based Wreless Sensor Networks Shua Gao, 1
More informationVRT012 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 informationAdaptive Energy and Location Aware Routing in Wireless Sensor Network
Adaptve Energy and Locaton Aware Routng n Wreless Sensor Network Hong Fu 1,1, Xaomng Wang 1, Yngshu L 1 Department of Computer Scence, Shaanx Normal Unversty, X an, Chna, 71006 fuhong433@gmal.com {wangxmsnnu@hotmal.cn}
More informationAttribute Allocation in Large Scale Sensor Networks
Attrbute Allocaton n Large Scale Sensor Networks Ratnabal Bswas Kaushk Chowdhury Dharma P. Agrawal OBR Research Center for Dstrbuted and Moble Computng, Dept. of ECECS, Unversty of Cncnnat, Cncnnat, OH
More informationCompiler 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 informationDistributed Grid based Robust Clustering Protocol for Mobile Sensor Networks
414 The Internatonal Arab Journal of Informaton Technology, Vol. 8, No. 4, October 011 Dstrbuted Grd based Robust Clusterng Protocol for Moble Sensor Networks Shahzad Al and Sajjad Madan Department of
More informationQoS 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 informationA Hybrid Genetic Algorithm for Routing Optimization in IP Networks Utilizing Bandwidth and Delay Metrics
A Hybrd Genetc Algorthm for Routng Optmzaton n IP Networks Utlzng Bandwdth and Delay Metrcs Anton Redl Insttute of Communcaton Networks, Munch Unversty of Technology, Arcsstr. 21, 80290 Munch, Germany
More informationVirtual 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 informationPerformance Improvement of Direct Diffusion Algorithm in Sensor Networks
Mddle-East Journal of Scentfc Research 2 (): 566-574, 202 ISSN 990-9233 IDOSI Publcatons, 202 DOI: 0.5829/dos.mejsr.202.2..43 Performance Improvement of Drect Dffuson Algorthm n Sensor Networks Akbar Bemana
More informationNETWORK 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 informationDESIGNING 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 informationVideo 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 informationsensors ISSN
Sensors 2011, 11, 5383-5401; do:10.3390/s110505383 OPEN ACCESS sensors ISSN 1424-8220 www.mdp.com/journal/sensors Artcle FRCA: A Fuzzy Relevance-Based Cluster Head Selecton Algorthm for Wreless Moble Ad-Hoc
More informationApplied 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 informationMobileGrid: 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 informationFibre-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 informationA 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 informationAggregated 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 informationQoS-aware routing for heterogeneous layered unicast transmissions in wireless mesh networks with cooperative network coding
Tarno et al. EURASIP Journal on Wreless Communcatons and Networkng 214, 214:81 http://wcn.euraspournals.com/content/214/1/81 RESEARCH Open Access QoS-aware routng for heterogeneous layered uncast transmssons
More informationMobility 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 informationProper Choice of Data Used for the Estimation of Datum Transformation Parameters
Proper Choce of Data Used for the Estmaton of Datum Transformaton Parameters Hakan S. KUTOGLU, Turkey Key words: Coordnate systems; transformaton; estmaton, relablty. SUMMARY Advances n technologes and
More informationSolutions for Real-Time Communication over Best-Effort Networks
Solutons for Real-Tme Communcaton over Best-Effort Networks Anca Hangan, Ramona Marfevc, Gheorghe Sebestyen Techncal Unversty of Cluj-Napoca, Computer Scence Department {Anca.Hangan, Ramona.Marfevc, Gheorghe.Sebestyen}@cs.utcluj.ro
More informationENERGY EFFICIENT ROUTING PROTOCOLS FOR WIRELESS AD HOC NETWORKS A SURVEY
K SANKAR: ENERGY EFFICIENT ROUTING PROTOCOLS FOR WIRELESS AD HOC NETWORKS A SURVEY ENERGY EFFICIENT ROUTING PROTOCOLS FOR WIRELESS AD HOC NETWORKS A SURVEY K. Sankar Department of Computer Scence and Engneerng,
More informationParallelism 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 informationWireless 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 informationAnalysis 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 informationEfficient Broadcast Disks Program Construction in Asymmetric Communication Environments
Effcent Broadcast Dsks Program Constructon n Asymmetrc Communcaton Envronments Eleftheros Takas, Stefanos Ougaroglou, Petros copoltds Department of Informatcs, Arstotle Unversty of Thessalonk Box 888,
More informationJournal of Network and Computer Applications
Journal of Network and Computer Applcatons 37 (2014) 216 228 Contents lsts avalable at ScenceDrect Journal of Network and Computer Applcatons journal homepage: www.elsever.com/locate/jnca HOCA: Healthcare
More informationEfficient 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 informationReal-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 informationOPTIMAL CONFIGURATION FOR NODES IN MIXED CELLULAR AND MOBILE AD HOC NETWORK FOR INET
OPTIMAL CONFIGURATION FOR NODE IN MIED CELLULAR AND MOBILE AD HOC NETWORK FOR INET Olusola Babalola D.E. Department of Electrcal and Computer Engneerng Morgan tate Unversty Dr. Rchard Dean Faculty Advsor
More informationDynamic 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 informationRouting 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 informationUsing Particle Swarm Optimization for Enhancing the Hierarchical Cell Relay Routing Protocol
2012 Thrd Internatonal Conference on Networkng and Computng Usng Partcle Swarm Optmzaton for Enhancng the Herarchcal Cell Relay Routng Protocol Hung-Y Ch Department of Electrcal Engneerng Natonal Sun Yat-Sen
More informationNetwork-Driven Layered Multicast with IPv6
Network-Drven Layered Multcast wth IPv6 Ho-pong Sze and Soung C. Lew Department of Informaton Engneerng, The Chnese Unversty of Hong Kong, Shatn, N.T., Hong Kong {hpsze8, soung}@e.cuhk.edu.hk Abstract.
More informationFEAR: Fuzzy-Based Energy Aware Routing Protocol for Wireless Sensor Networks
Int l J. of Communcatons, etwork and System Scences, 2011, 4, 403-415 do:10.4236/jcns.2011.46048 Publshed Onlne June 2011 (http://www.scrp.org/journal/jcns) FEAR: Fuzzy-Based Energy Aware Routng Protocol
More informationResearch Article QPRD: QoS-Aware Peering Routing Protocol for Delay-Sensitive Data in Hospital Body Area Network
Moble Informaton Systems Volume 15, Artcle ID 153232, 16 pages http://dx.do.org/1.1155/15/153232 Research Artcle : QoS-Aware Peerng Routng Protocol for Delay-Senstve Data n Hosptal Body Area Network Zahoor
More informationFast 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 informationCost-Effective Lifetime Prediction Based Routing Protocol for Mobile Ad Hoc Network
Cost-Effectve Lfetme Predcton Based Routng Protocol for Moble Ad Hoc Network ABU MD. ZAFOR ALAM, MUHAMMAD ARIFUR RAHMAN, M. LUTFAR RAHMAN 1 Faculty of Scence and Informaton Technology, Daffodl Internatonal
More informationPriority-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 informationTransmit 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 informationClassification Method in Integrated Information Network Using Vector Image Comparison
Sensors & Transducers 2014 by IFSA Publshng, S. L. http://www.sensorsportal.com Classfcaton Method n Integrated Informaton Network Usng Vector Image Comparson Zhou Yuan Guangdong Polytechnc Normal Unversty
More informationEfficient 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 informationAn 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 informationBANDWIDTH OPTIMIZATION OF INDIVIDUAL HOP FOR ROBUST DATA STREAMING ON EMERGENCY MEDICAL APPLICATION
ARPN Journal of Engneerng and Appled Scences 2006-2009 Asan Research Publshng Network (ARPN). All rghts reserved. BANDWIDTH OPTIMIZATION OF INDIVIDUA HOP FOR ROBUST DATA STREAMING ON EMERGENCY MEDICA APPICATION
More informationEfficient 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 informationAADL : 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 informationSubspace 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 informationLong 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 informationEfficient 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 informationIAENG 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 informationAn approach to data Aggregation in wireless sensor network using Voronoi fuzzy clustering algorithm
Journal of Scentfc & Industral Research ol. 72, May 2013, pp. 287-293 An approach to data Aggregaton n wreless sensor network usng orono fuzzy clusterng algorthm S.Nthyakalyan 1* and S.Suresh Kumar 2 *1
More informationA 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 informationComparison 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 informationA Variable Threats Based Self-Organization Scheme for Wireless Sensor Networks
009 Thrd Internatonal Conference on Sensor Technologes and Applcatons A Varable Threats Based Self-Organzaton Scheme for Wreless Sensor Networks Jan Zhong School of Computer Scence and Informaton Technology
More informationWITH 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 informationInternational Conference on Applied Science and Engineering Innovation (ASEI 2015)
Internatonal Conference on Appled cence and Engneerng Innovaton (AEI 2015) A new MAC protocol of UAN (ABIC-MAC) based on hgh effcency, concurrent and bdrecton LIU Jun 1,a, YANG Xao Lan 2, PENG Lng Feng
More informationVol. 4, No. 4 April 2013 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved.
WP A Tree Based Response Tme Algorthm for Event Drven Wreless Sensor Networks 1 Itu Sngdh, 2 Saurabh Kumar 1 Department of Computer Scence and Engneerng, Brla Insttute of Technology, Mesra, Ranch, Jharkhand,
More informationScheduling 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 informationResource 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 informationWightman. Mobility. Quick Reference Guide THIS SPACE INTENTIONALLY LEFT BLANK
Wghtman Moblty Quck Reference Gude THIS SPACE INTENTIONALLY LEFT BLANK WIGHTMAN MOBILITY BASICS How to Set Up Your Vocemal 1. On your phone s dal screen, press and hold 1 to access your vocemal. If your
More informationDynamic 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 informationCS 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 informationWireless Temperature Monitoring Overview
Wreless Temperature Montorng Overvew Wreless Temperature Montorng and Alerts. Your Dashboard gves you advanced montorng, alerts (SMS or Emals), graphng and PDF reports from anywhere n the world. Product
More informationAvoiding 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 informationParallel matrix-vector multiplication
Appendx A Parallel matrx-vector multplcaton The reduced transton matrx of the three-dmensonal cage model for gel electrophoress, descrbed n secton 3.2, becomes excessvely large for polymer lengths more
More informationSPEED: 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 informationA Thesis Submitted by R.SUMATHI. for the award of the degree of. DOCTOR OF PHILOSOPHY in COMPUTER SCIENCE AND ENGINEERING
DEVELOPMENT AND ANALYSIS OF DISTINCT ENERGY-EFFICIENT ROUTING PROTOCOLS FOR LOAD BALANCING, SERVICE DIFFERENTIATION, QoS ASSURANCE AND LOCALIZATION IN WIRELESS SENSOR NETWORKS A Thess Submtted by R.SUMATHI
More informationA 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 informationEFT: 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 informationA Distributed Three-hop Routing Protocol to Increase the Capacity of Hybrid Wireless Networks
Ths artcle has been accepted for publcaton n a future ssue of ths journal, but has not been fully edted. Content may change pror to fnal publcaton. Ctaton nformaton: DOI.9/TMC.25.2388476, IEEE Transactons
More informationRelated-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 informationOverview. 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 informationVirtual 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 informationThe Greedy Method. Outline and Reading. Change Money Problem. Greedy Algorithms. Applications of the Greedy Strategy. The Greedy Method Technique
//00 :0 AM Outlne and Readng The Greedy Method The Greedy Method Technque (secton.) Fractonal Knapsack Problem (secton..) Task Schedulng (secton..) Mnmum Spannng Trees (secton.) Change Money Problem Greedy
More information