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2008
Springer

Efficient Clustering for Improving Network Performance in Wireless Sensor Networks

11 years 2 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Most of the research in this area has focused on energy-efficient solutions, but has not thoroughly analyzed the network performance, e.g. in terms of data collection rate and time. The main objective of this paper is to provide a useful fully-distributed inference algorithm for clustering, based on belief propagation. The algorithm selects cluster heads, based on a unique set of global and local parameters, which finally achieves, under the energy constraints, improved network performance. Evaluation of the algorithm implementation shows an increase in throughput in more than 40% compared to HEED scheme. This advantage is expressed in terms of network reliability, data collection quality and transmission cost.
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
Added 25 Dec 2009
Updated 25 Dec 2009
Type Conference
Year 2008
Where EWSN
Authors Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
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