Subdividing hexagon-clustered wireless sensor networks for power-efficiency

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

6 Scopus citations

Abstract

Hexagons are an ideal shape for clustering sensor networks, because clustered areas can be seamlessly divided by the hexagons. In addition, hexagons are the largest regular polygon (in terms of the number of sides) that has this property. In this paper, we propose a novel scheme for subdividing a hexagonal cluster where sensors are densely populated and distributed uniformly throughout the cluster. We provide an analytical estimate of power saving resulting from the subdivision, and show that our proposal gives rise to a substantial reduction in power consumption. We also perform subdivisions at various scales, and analyze the corresponding power saving patterns. Our results show that the proposed scheme will yield significant saving in overall power consumption of a cluster, and the deeper the subdivision, the less the power consumption.

Original languageEnglish
Title of host publicationProceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
Pages454-458
Number of pages5
DOIs
StatePublished - 2009
Event2009 WRI International Conference on Communications and Mobile Computing, CMC 2009 - Kunming, Yunnan, China
Duration: 6 Jan 20098 Jan 2009

Publication series

NameProceedings - 2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
Volume2

Other

Other2009 WRI International Conference on Communications and Mobile Computing, CMC 2009
Country/TerritoryChina
CityKunming, Yunnan
Period6/01/098/01/09

Fingerprint

Dive into the research topics of 'Subdividing hexagon-clustered wireless sensor networks for power-efficiency'. Together they form a unique fingerprint.

Cite this