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Energy-Efficient Distance Based Clustering Routing Scheme for Wireless Sensor Networks

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Computational Science and Its Applications – ICCSA 2007 (ICCSA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4706))

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Abstract

Clustering scheme enabling the efficient utilization of the limited energy resources of the deployed sensor nodes can effectively prolong the lifetime of wireless sensor networks. The most common technique in famous clustering schemes is a probabilistic clustering scheme based on a randomized cluster-head rotation for distributing the energy consumption among nodes in each cluster. Because most of those schemes utilize mainly the residual energy of each node as the criterion of cluster-head election, those schemes have demerit which the unbalanced energy consumption among cluster-heads is occurred. To overcome this demerit, we consider a distance from the base station to cluster-heads as well as the residual energy as the criterion of cluster-head election for balanced energy consumption among cluster-heads. Our scheme provides fully distributed manner by utilizing local information and good energy-efficiency by load balanced clustering scheme. Through simulation experiments, we showed that the proposed scheme is more effective than LEACH and EECS in prolonging the lifespan of wireless sensor networks.

This research was supported by the MIC(Ministry of Information and Communication), Korea, under the ITRC(Information Technology Research Center) support program supervised by the IITA(Institute of Information Technology Advancement) (IITA-2006-C1090-0603-0028).

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Osvaldo Gervasi Marina L. Gavrilova

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© 2007 Springer-Verlag Berlin Heidelberg

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Han, YJ., Park, SH., Eom, JH., Chung, TM. (2007). Energy-Efficient Distance Based Clustering Routing Scheme for Wireless Sensor Networks. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74477-1_20

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  • DOI: https://doi.org/10.1007/978-3-540-74477-1_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74475-7

  • Online ISBN: 978-3-540-74477-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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