An analytical study of subdividing hexagon-clustered WSN for power saving

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Hexagon is an ideal shape for clustering sensor networks, for it can seamlessly divide clustered areas, and is the largest regular polygon (in terms of the number of sides) that has this property. In this paper, we analyze the benefit of subdividing a hexagonal cluster for the purpose of reducing the overall power consumption in the cluster. Assuming a spatial Poisson distribution of sensor nodes in the cluster, we propose a subdivision scheme, and perform a comprehensive analytical estimate of power savings brought about by the subdivision. The analytical results show that subdivision will yield considerable saving in overall power consumption of the cluster, and the saving is heavily dependent on the nodes' transmission range and their deployment density. The limit on the depth of subdivision is also analyzed.

Original languageEnglish
Title of host publication2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09
Pages403-412
Number of pages10
DOIs
StatePublished - 1 Dec 2009
Event2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09 - Macau, China
Duration: 12 Oct 200915 Oct 2009

Publication series

Name2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09

Other

Other2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09
CountryChina
CityMacau
Period12/10/0915/10/09

Keywords

  • Clustered WSN
  • Energy efficiency
  • Hexagonal
  • Hierarchy
  • Spatial poisson distribution
  • Wireless sensor networks

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