NDLI: K-Means Like Minimum Mean Distance Algorithm for wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Wei Peng Edwards, D.J.
Copyright Year	2010
Description	Author affiliation: Department of Engineering Science, University of Oxford, UK (Wei Peng; Edwards, D.J.)
Abstract	A wireless sensor network consists of hundreds or thousands of low cost, small wireless sensor nodes which allow users to monitor a variety of remote environments. In this paper, a novel cluster-head selection algorithm is presented and analyzed which uses the minimum mean distance between sensor nodes as a selection parameter. The proposed algorithm has clear advantages and takes 1.2 times longer to reach the point where 50% sensor nodes remain alive than the Low Energy Adaptive Clustering Hierarchy algorithm (LEACH) while maintaining information throughput at a high level. Furthermore, the new algorithm takes 1.2 times longer than the LEACH to reach the point where the number of cluster-heads and the throughput from the cluster-heads to the base station are reduced by 50%. In the example 100 sensor network presented, the new algorithm ensures that there are always five cluster-heads during each round throughout the network lifetime, which is longer than the LEACH protocol and delivers 2.1 times more data to the base station compared to the LEACH protocol. All simulation results show that this new algorithm can significantly improve the overall wireless sensor network performance compared with the LEACH.
File Size	516601
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5486264
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations cluster Costs LEACH Wireless sensor networks (WSN) mean distance Access protocols LEMMA Throughput Sensor systems Batteries data aggregation Wireless sensor networks Patient monitoring Clustering algorithms Communication system traffic control
Content Type	Text
Resource Type	Article

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