Distributed Energy-Efficient Unequal Clustering Mechanism for Wireless Sensor Networks

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Unequal clustering mechanism, in combination with inter-cluster multihop routing, provides a new effective way to balance the energy dissipation among nodes and prolong the lifetime of wireless sensor networks. In this paper, a distributed energy-efficient unequal clustering mechanism (DEEUC) is proposed and evaluated. By a time based competitive clustering algorithm, DEEUC partitions all nodes into clusters of unequal size, in which the clusters closer to the base station have smaller size. The cluster heads of these clusters can preserve some more energy for the inter-cluster relay traffic and the “hot-spots” problem can be avoided. For inter-cluster communication, DEEUC adopts an energy-aware multihop routing to reduce the energy consumption of the cluster heads. Simulation results demonstrate that the protocol can efficiently decrease the dead speed of the nodes and prolong the network lifetime

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225-229

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January 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] W. Heinzelman, et al., Energy-Efficient Communication Protocol for Wireless Microsensor Networks, " presented at the in Proceedings of the 33rd Hawaii International Conference on System Science (HICSS, 00), (2000).

DOI: 10.1109/hicss.2000.926982

Google Scholar

[2] N. M. A. Latiff, et al., Energy-aware clustering for wireless sensor networks using particle swarm optimization, presented at the IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, Athens, (2007).

DOI: 10.1109/pimrc.2007.4394521

Google Scholar

[3] S. Bandyopadhyay and E. J. Coyle, An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks, (2003).

Google Scholar

[4] O. Younis and S. Fahmy, Heed: A hybrid, energy-efficient, distributed clustering approach for ad-hoc sensor networks, IEEE Trans. on Mobile Computing, vol. 3, pp.660-669, (2004).

DOI: 10.1109/tmc.2004.41

Google Scholar

[5] C. Li, et al., An Energy-Efficient Unequal Clustering Mechanism for Wireless Sensor Networks, presented at the IEEE International Conference on Mobile Adhoc and Sensor Systems, Washington, DC, (2005).

DOI: 10.1109/mahss.2005.1542849

Google Scholar

[6] M. Liu, et al., EADEEG: An energy-aware data gathering protocol for wireless sensor networks, Journal of Software, vol. 18, pp.1092-1109, (2007).

DOI: 10.1360/jos181092

Google Scholar

[7] S. Lindsey and C. S. Raghavendra, PEGASIS: Power-Efficient Gathering in Sensor Information Systems, (2000).

DOI: 10.1109/aero.2002.1035242

Google Scholar