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  • 标题:Combining Harmony Search and Learning Automata for Topology Control in Wireless Sensor Networks
  • 本地全文:下载
  • 作者:Mohamad Nikravan ; Seyed Mahdi Jameii
  • 期刊名称:International Journal of Wireless & Mobile Networks
  • 印刷版ISSN:0975-4679
  • 电子版ISSN:0975-3834
  • 出版年度:2012
  • 卷号:4
  • 期号:6
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:One of the critical challenges in wireless sensor networks (WSNs) is energy conservation. Topology control is a vital process to minimize energy consumption and maximize the network lifetime. In this paper, we propose a distributed topology protocol with transmission power adjustment based on harmony search and learning automata algorithms called HSLATC (Harmony Search and Learning Automata based Topology Control protocol). In HSLATC, proper transition radius of the sensor nodes can be determined. Because of the intelligent determining the transition radiuses of the nodes in the proposed protocol, it is able to provide the full connectivity in sparse deployment and decreases the energy consumption of the sensor network and prolongs the network lifetime. The simulation results show high efficiency of the proposed protocol.
  • 关键词:Wireless Sensor Network; Topology Control; Network Lifetime; Harmony Search; Learning Automata.
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