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  • 标题:Performance Analysis of Fault Tolerance using Clustering Scheme for Wireless Sensor Network
  • 本地全文:下载
  • 作者:Ms. Swati P. Wankhede ; Prof. A. N. Thakare
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2015
  • 卷号:4
  • 期号:2
  • 页码:10276-10281
  • 出版社:IJECS
  • 摘要:Wireless Sensor Networks (WSNs) are used in many applications in military, ecological, and health-related areas. Theseapplications often include the monitoring of sensitive information such as enemy movement on the battlefield or the location of personnel ina building. Fault Tolerance is therefore important in WSNs. The reliability of wireless sensor networks (WSNs) is affected by faults that mayoccur due to various reasons such as malfunctioning hardware, software glitches, dislocation, or environmental hazards. A WSN that is notprepared to deal with such situations may suffer a reduction in overall lifetime, or lead to hazardous consequences in critical applicationcontexts. One of the major fault recovery techniques is the exploitation of redundancy, which is often a default condition in WSNs. Anothermajor approach is the involvement of base stations or other resourceful nodes to maintain operations after failures. We present a selforganizing,singlehop clustering scheme, which is based on partitioning sensor networks into several disjoint cliques. Clustering sensornodes into small groups is an effective method to achieve fault tolerance, scalability, load balancing, routing etc. Here, each node obtains alist of its neighbour’s connectivity as well as their degree of connection at first. Then, the node with highest degree of connection initiatesclique formation process and makes the cluster. Among all the members of the cluster, the node with maximum energy is selected as clusterhead (CH).Simulations results obtain so far recovers the faults occurred in the WSN and also provide energy efficient network
  • 关键词:Cluster-based; Energy Efficiency; Fault Tolerance;Secure Routing; Wireless Sensor Network
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