A novel Cluster-Head selection algorithm for wireless sensor networks

  • Rong Ding*
  • , Haiying Du
  • , Bing Yang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In recent years, many clustering algorithms have been proposed. LEACH is the most famous one of them. However, in LEACH, within each 1=p rounds, once a node has been selected as a Cluster-Head (CH), its threshold will be set to 0, and thus it will lose opportunity to participate in the process of cluster-head selection, even if it still has enough energy. In this paper, we present a novel cluster-head selection algorithm. Instead of changing the threshold to 0 directly, the proposed algorithm adjusts the threshold of each node gradually according to the role it has played in the last round, so more nodes would have the opportunity to become CHs. Simulation results show that the proposed algorithm outperforms LEACH in network lifetime by an average of 30% approximately. In addition, when the scale of network is expanded, the algorithm can also perform better than LEACH.

Original languageEnglish
Pages (from-to)1301-1310
Number of pages10
JournalJournal of Information and Computational Science
Volume8
Issue number8
StatePublished - Aug 2011

Keywords

  • Cluster-Head selection algorithm
  • Clustering algorithm
  • Soft threshold
  • Wireless sensor networks

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