An Energy Efficient Clustering for Cluster-Based Wireless Sensor Networks

Yung-Fa Huang, Jhao-Wei Guo, Young-Long Chen
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引用次数: 2

Abstract

This paper proposes a novel energy efficient data clustering scheme to improve energy efficiency for cluster-based wireless sensor networks (WSNs). In order to reduce the energy dissipation of transmitting sensing data at each sensor, the fixed clustering algorithm uniformly divides the sensing area into clusters where the cluster head is deployed to the centered of the cluster area. Moreover, to perform energy efficient grid clustering (EEGC), the nodes take turns to be cluster head. Simulation results show that proposed EEGC definitely reduces the energy consumption of the sensors and prolongs network lifetime to be longer than LEACH for both life rate=50% and 70%. Moreover, the total transmission data of EEGC is more 60% than LEACH scheme.
一种基于簇的无线传感器网络节能聚类方法
为了提高基于集群的无线传感器网络(WSNs)的能量效率,提出了一种新的节能数据聚类方案。为了减少在每个传感器处传输传感数据的能量消耗,固定聚类算法将传感区域统一划分为簇,簇头部署在簇区域的中心。此外,为了执行高效的网格聚类(EEGC),节点轮流成为簇头。仿真结果表明,EEGC在寿命率为50%和70%的情况下,明显降低了传感器的能耗,使网络寿命比LEACH更长。与LEACH方案相比,EEGC方案的总传输数据量高出60%以上。
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