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RD-TDMA: A Randomized Distributed TDMA Scheduling for Correlated Contention in WSNs

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dc.contributor.author Bhatia, Ashutosh
dc.date.accessioned 2024-10-18T08:59:41Z
dc.date.available 2024-10-18T08:59:41Z
dc.date.issued 2014
dc.identifier.uri https://ieeexplore.ieee.org/abstract/document/6844667
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16125
dc.description.abstract In wireless sensor networks (WSNs), contention occurs when two or more nodes in a proximity simultaneously try to access the channel. The contention causes collisions, which are very likely to occur when traffic is correlated. The excessive collision not only affects the reliability and the QoS of the application, but also the lifetime of the network. It is well known that random access mechanisms do not efficiently handle correlated-contention, and therefore, suffer from high collision rate. Most of the existing TDMA scheduling techniques try to find an optimal or a sub-optimal schedule. Usually, the situation of correlated-contention persists only for a short duration, and therefore, it is not worthwhile to take a long time to generate an optimal or a sub-optimal schedule. We propose a randomized distributed TDMA scheduling (RD-TDMA) algorithm to quickly generate a feasible schedule (not necessarily optimal) to handle correlated-contention in WSNs. In RD-TDMA, a node in the network negotiates a slot with its neighbors using the message exchange mechanism. The proposed protocol has been simulated using the Castalia simulator to evaluate its runtime performance. Simulation results show that the RD-TDMA algorithm considerably reduces the time required to schedule. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Computer Science en_US
dc.subject Wireless sensor networks (WSNs) en_US
dc.subject Media Access Control en_US
dc.subject TDMA slot scheduling en_US
dc.subject Correlated Contention en_US
dc.title RD-TDMA: A Randomized Distributed TDMA Scheduling for Correlated Contention in WSNs en_US
dc.type Article en_US


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