节点文献

Energy-balanced on demand clustering improved leach protocol for wireless sensor networks

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 KHAMISS A A柴森春张百海李桥

【Author】 KHAMISS A A;CHAI Sen-chun;ZHANG Bai-hai;LI Qiao;School of Automation,Beijing Institute of Technology;

【机构】 School of Automation,Beijing Institute of Technology

【摘要】 In wireless sensor networks(WSNs),appropriate topology control(TC)could efficiently balance the load among sensor nodes and extend network lifespan.Clustering is an effective topology control technique that could reduce energy consumption and provide scalability to WSNs.However,some clustering algorithms,including the traditional low energy adaptive clustering hierarchy(LEACH),don’t consider the residual energy and the communication distance.The energy consumption could dramatically increase in the case of long communication distance and high rate of control message exchange.In this paper we propose an energy-balanced clustering algorithm which considers the communication distance and the residual energy.Moreover the cluster head(CH)reselection is relevant to the current CH residual energy in order to reduce overheads.The simulation results demonstrate that the proposed algorithm prolongs the lifetime of the WSN in comparison to the LEACH and a hybrid clustering approach(HCA).

【Abstract】 In wireless sensor networks(WSNs),appropriate topology control(TC)could efficiently balance the load among sensor nodes and extend network lifespan.Clustering is an effective topology control technique that could reduce energy consumption and provide scalability to WSNs.However,some clustering algorithms,including the traditional low energy adaptive clustering hierarchy(LEACH),don’t consider the residual energy and the communication distance.The energy consumption could dramatically increase in the case of long communication distance and high rate of control message exchange.In this paper we propose an energy-balanced clustering algorithm which considers the communication distance and the residual energy.Moreover the cluster head(CH)reselection is relevant to the current CH residual energy in order to reduce overheads.The simulation results demonstrate that the proposed algorithm prolongs the lifetime of the WSN in comparison to the LEACH and a hybrid clustering approach(HCA).

【基金】 Supported by the National Natural Science Foundation of China(6104086);Scientific Research,Postgraduate Training Joint-Build Project(20120639002)
  • 【文献出处】 Journal of Beijing Institute of Technology ,北京理工大学学报(英文版) , 编辑部邮箱 ,2016年03期
  • 【分类号】TP212.9;TN915.04
  • 【被引频次】3
  • 【下载频次】70
节点文献中: 

本文链接的文献网络图示:

本文的引文网络