An efficient burst transmission scheme for wireless sensor networks

Zeeshan Ansar, Jianjun Wen, Eyuel Debebe Ayele, Waltenegus Dargi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)

Abstract

This paper addresses link quality fluctuation and its impact on the packet delivery capacity of wireless sensor networks. Independent studies have previously confirmed that link quality fluctuates even in a static deployment and understanding stable durations, good and bad alike, can contribute to the efficient transmission of packets. We propose a two stage Markov model to characterise link quality fluctuation and to determine when and for how long nodes should transmit packets in burst. Both to develop and test our model, we deployed a wireless sensor network consisting of 14 nodes in a garden and transmitted more than 120,000 packets with different links. The experiment results confirm that our approach improved the packet delivery capacity of the links by up to 40% when compared with a baseline and by up to 25% when compared with a scheme that employs conditional distribution functions.

Original languageEnglish
Title of host publicationMSWiM 2015 - Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
PublisherAssociation for Computing Machinery
Pages151-155
Number of pages5
ISBN (Electronic)9781450337625
DOIs
Publication statusPublished - 2 Nov 2015
Externally publishedYes
Event18th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2015 - Cancun, Mexico
Duration: 2 Nov 20156 Nov 2015
Conference number: 18

Conference

Conference18th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2015
Abbreviated titleMSWiM 2015
Country/TerritoryMexico
CityCancun
Period2/11/156/11/15

Keywords

  • Burst transmission
  • Link quality estimation
  • Link quality fluctuation
  • Wireless link

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