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

Haitao Xiao, Xue Zhao, Harutoshi Ogai

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)697-703
Number of pages7
JournalSensor Letters
Volume11
Issue number4
DOIs
Publication statusPublished - 2013 Apr 1

    Fingerprint

Keywords

  • BAFSO
  • Clustering analysis
  • Coverage rate
  • Hierarchical routing protocols
  • Wireless sensor network

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

Cite this