A clustering routing and coverage algorithm for WSN based on brief artificial fish-school optimization

Haitao Xiao*, Xue Zhao, Harutoshi Ogai

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

抄録

This paper describes a novel clustering routing and coverage algorithm, referred as Brief Artificial Fish-School Optimization Clustering Routing and Coverage (BAFSOCRC), for a wireless sensor network. Based on the detailed analysis of the cluster head selection algorithm and the deficiencies of LEACH algorithm, I propose an algorithm based on Brief Artificial Fish-School Optimization (BAFSO). The key point of the clustering routing algorithm is applying BAFSO algorithm. This algorithm can be divided into two parts: The clustering routing algorithm of WSN based on BAFSO (BAFSOCR) and the coverage of WSN based on BAFSO (BAFSOC). In the BAFSOCR, it can achieve the balance of the network energy consumption, improve the energy efficiency and prolong life cycle of the whole network. In the BAFSOC, it can achieve the distribution optimization in a higher speed with a lower cost, and increase the efficiency of the algorithm.

本文言語English
ページ(範囲)697-703
ページ数7
ジャーナルSensor Letters
11
4
DOI
出版ステータスPublished - 2013 4月 1

ASJC Scopus subject areas

  • 原子分子物理学および光学
  • 電子工学および電気工学

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