Energy efficient cluster header selection algorithm in WSN

Inbo Sim, Koung Jin Choi, Koung Jin Kwon, Jaiyong Lee

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

14 Citations (Scopus)

Abstract

In wireless sensor networks, clustering, a method of grouping sensor nodes, has numerous advantages. It can support network scalability, reduce the size of the routing table stored at the individual node and prolong the battery life of the individual sensors and the network lifetime, etc. In this paper, to extend network lifetime and minimize additional overheads in energy limited sensor networks, we propose CH selection algorithm which selects CH by utilizing only its information. Also, we evaluate the performance of this scheme by using simulation, and show that this proposed scheme considerably improves network lifetime in WSN.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009
Pages584-587
Number of pages4
DOIs
Publication statusPublished - 2009 Oct 13
EventInternational Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009 - Fukuoka, Japan
Duration: 2009 Mar 162009 Mar 19

Publication series

NameProceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009

Other

OtherInternational Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009
CountryJapan
CityFukuoka
Period09/3/1609/3/19

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software
  • Control and Systems Engineering

Cite this

Sim, I., Choi, K. J., Kwon, K. J., & Lee, J. (2009). Energy efficient cluster header selection algorithm in WSN. In Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009 (pp. 584-587). [5066845] (Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009). https://doi.org/10.1109/CISIS.2009.69