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  • 标题:FORAGING OPTIMIZATION FOR CLUSTER HEAD SELECTION
  • 本地全文:下载
  • 作者:G. KAVITHA ; Dr. R. S. D. WAHIDABANU
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:61
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Wireless sensor networks (WSN) are popular as they are potentially low cost solutions to various real-world challenges. WSNs consist of autonomous nodes to monitor an environment. WSN developers face challenges from communication link failures, memory/computational constraints, and limited energy. Many WSN issues are formulated as multidimensional optimization problems and solved through bio-inspired techniques. Clustering divides a network into interconnected substructures, called clusters with each cluster having a cluster head (CH) as coordinator in the substructure. Each CH is a temporary base station in its zone/cluster communicating with other CHs. This study proposes an improved cluster head selection for efficient data aggregation in sensor networks. The proposed algorithm is based on LEACH incorporated Bacterial Foraging Optimization (BFO).
  • 关键词:Wireless sensor networks (WSN); Clustering; Data-Aggregation; Localization; Optimal Deployment; Bacterial Foraging Optimization (BFO)
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