NDLI: A Distributed Clustering Algorithm for Voronoi Cell-Based Large Scale Wireless Sensor Network

Content Provider	IEEE Xplore Digital Library
Author	Jiehui Chen Chul-soo Kim Fu Song
Copyright Year	2010
Abstract	Due to resource constraints in Wireless Sensor Networks (WSNs), this paper contributes a distributed clustering algorithm suitable for a large scale Voronoi cell-based WSNs with sensors randomly deployed according to homogenous spatial Poisson process and each sensor becomes a cluster head (CH) with a possibility p while non-CH sensors join the cluster of the closest CH to form a Voronoi tessellation. We explore a new sensor node deployment and generate stochastic geometry for the proposed algorithm being capable of showing how the critical parameters give significant influences on minimizing energy cost. Without loss of generality, the highly creditable simulation results prove that the proposed algorithm outperformance the Max-Min D-Cluster algorithm in terms of energy efficiency under certain network specifications. Moreover, scalability and robustness of the algorithm are also verified over extensive experiments.
Starting Page	209
Ending Page	213
File Size	437334
Page Count	5
File Format	PDF
ISBN	9781424463275
e-ISBN	9781424463282
DOI	10.1109/CMC.2010.230
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs clustering algorithm Stochastic processes Mobile communication Capacitive sensors voronoi cell Geometry Wireless sensor networks WSN Clustering algorithms Signal processing algorithms Large-scale systems Biosensors
Content Type	Text
Resource Type	Article

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