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  • 标题:A DFS Improved Genetic Approach to Optimize Target Coverage Problem in Underwater Wireless Sensor Network
  • 本地全文:下载
  • 作者:Manisha Yadav ; Prof.(Dr.)Yusuf Mulge
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:6
  • 出版社:S.S. Mishra
  • 摘要:An underwater sensor network is one of the major emerging technology .These kind of network needs the equal concern for the architectural definitions as well as the algorithmic enhancements. The fundamental challenges of wireless sensor networks are first it is the problem of the limited energy source equipped with every sensor that is from the battery source. Second it is the problem of covering a non-uniform target area in most of the situations.Then cost minimization becomes a serious issue. The challenge to optimizing the network lifetime while monitoring the target nodes is known as the Target Coverage Problem. This is use as the foundation of this work. An existing heuristic is used to serve as a baseline against our proposed algorithm which seeks to maximize the network lifetime A conventional heuristic algorithm used for scheduling the sensors is used for simulation. In this paper we proposed the hybrid approach use of Depth first Search along with Genetic Algorithm to solve the target coverage problem
  • 关键词:Wireless Sensor Network; Target Coverage Problem ; Genetic Algorithm ;Connectivity; Lifetime; ;Depth First Algorithm
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