An improvement of GAF for lifetime elongation in wireless sensor networks

Xiao Gang Qi, Chen Xi Qiu

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

8 Scopus citations

Abstract

The introduction of Geographical Adaptive Fidelity (GAF) into field of Wireless sensor network (WSN) has help save sensor's energy to a large extent in some cases. Nevertheless, the traditional GAF still cannot reach the optimum energy usage since it select cluster heads completely randomly, not considering the best position of cluster head and energy distribution. In this paper, a novel topology control algorithm based on GAF is proposed: its main idea is to find the optimum position of the cluster head with a grid for energy saving, and divide the virtual grid dynamically and periodically, as well as take residual energy of each node into account, for uniform energy distribution. Compared to GAF, the proposed algorithm improves the networks' performance on the nodes' life time and average load for the network.

Original languageEnglish (US)
Title of host publicationProceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009
DOIs
StatePublished - 2009
Externally publishedYes
Event5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009 - Beijing, China
Duration: Sep 24 2009Sep 26 2009

Publication series

NameProceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

Conference

Conference5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009
Country/TerritoryChina
CityBeijing
Period9/24/099/26/09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Software
  • Communication

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