NDLI: Minimal Induced Traffic for Cluster Formation in Wireless Sensor Networks: A Quantitative Analysis

Content Provider	IEEE Xplore Digital Library
Author	Munir, S.A. Ahmed, I. Jian Ma
Copyright Year	2007
Description	Author affiliation: State Key Lab. of Networking & Switching, Beijing Univ. of Posts & Telecommun., Beijing, China (Munir, S.A.)
Abstract	Clustering approach is one of the most used routing methodologies for wireless sensor network. However, most of the clustering practices make use of greedy cluster head formation process, wherein each node broadcasts its interest in becoming cluster head which is both energy and network intensive. In this paper we present a mechanism for efficient clustering formation, wherein an optimal number of nodes are identified which can take part in clustering formation process. The gains achieved are both energy efficiency and reduced network traffic. In a uniformly placed sensor nodes network, our algorithm comes up with an energy efficient clustering scheme by reducing the number of nodes which take part in clustering process. We have made use of network density as a parameter for creating cluster in the network. A numerical analysis is presented for varying network topologies and simulations are conducted to verify that with increased area coverage, the number of edge nodes become increasingly large, thus contributing to energy gain and less network traffic size.
Starting Page	1
Ending Page	6
File Size	3487881
Page Count	6
File Format	PDF
ISBN	1424406137
DOI	10.1109/COMSWA.2007.382474
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-01-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telecommunication traffic Wireless sensor networks Energy efficiency Routing Broadcasting Clustering algorithms Numerical analysis Network topology Analytical models Traffic control
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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