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An Efficient Clustering Scheme Considering Node Density in Wireless Sensor Networks  

Kim, Chang-Hyeon (Department of Computer Science and Engineering, Hanyang University)
Lee, Won-Joo (Department of Computer Science, Inha Technical College)
Jeon, Chang-Ho (School of Electrical and Computer Engineering, Hanyang University)
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Abstract
In this paper, we propose a new clustering scheme that provides optimal data aggregation effect and reduces energy consumption of nodes by considering the density of nodes when forming clusters. Since the size of the cluster is determined to ensure optimal data aggregation rate, our scheme reduces transmission range and minimizes interference between clusters. Moreover, by clustering using locally adjacent nodes and aggregating data received from cluster members, we reduce energy consumption of nodes. Through simulation, we confirmed that energy consumption of the whole network is minimized and the sensor network life-time is extended. Moreover, we show that the proposed clustering scheme improves the performance of network compared to previous LEACH clustering scheme.
Keywords
Cluster-Based Rouing; Node density; LEACH; DA-LEACH;
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