An Energy-efficient and Density-aware Clustering for WSNs

摘要：

　　Wireless Sensor Networks are sets of thousands or more of sensor nodes with very small size and limited energy,scattered over particular area to sense a certain physical phenomenon.Energy constraints are the most important challenge for these networks to work efficiently for long time.Most existing clustering algorithms are applied without considering the density of region.In this paper,density-aware clustering algorithm that based on region density and uses fuzzy clustering technique in cluster formation is proposed.The cluster head selection method depends on intra and inter-communication distances in addition to residual energy.It is cluster-based,centralized,single-hop routing method.The simulation results show that the algorithm can balance the energy load between nodes,reduce energy consumption and prolong the stability period and life time of network compared to traditional LEACH-C.

关键词： cluster-based density-aware subtractive clustering inter-communication intra-communication

作者: KHAMISS. A. A CHAI Senchun ZHANG Baihai LUAN Jingye LI Qiao

作者单位: School of Aumation,Beijing Institute of Technology,Beijing,100081,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 377-382

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）