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  • 标题:Flower Pollination Optimization Algorithm for Wireless Sensor Network Lifetime Global Optimization
  • 本地全文:下载
  • 作者:Marwa Sharawi ; E. Emary ; Imane Aly Saroit
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2014
  • 卷号:4
  • 期号:3
  • 页码:54-59
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:As wireless sensor networks still struggling to extend its lifetime, nodes` clustering and nomination, or selection of cluster head node are proposed as solution. LEACH protocol is one of the oldest remarkable clustering approaches that aim to cluster the network`s nodes and randomly elects a cluster head for each cluster. It selects cluster heads but it is not responsible for proper clustering formation. In this paper we use the Flower Pollination Optimization Algorithm (FPOA) to propose a WSN energy aware clustering formation model based on the intra-cluster distances. The objective is to achieve the global optimization for WSN lifetime. Simulation results and performance analysis show that applying flower pollination optimization on WSNs clustering is more efficient. It is effectively balance power utilization of each sensor node and hence extends WSN lifetime comparatively with the classical LEACH approach.
  • 关键词:Wireless Sensor Network; Energy-aware;algorithm; Flower Pollination Optimization Algorithm;Hierarchical routing protocol
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