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Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity

Femi A. Aderohunmu, Jeremiah D. Deng, Martin Purvis

Source Title: International Journal of Business Data Communications and Networking (IJBDCN)7(4)

ISSN: 1548-0631|EISSN: 1548-064X|EISBN13: 9781613505885|DOI: 10.4018/jbdcn.2011100102

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MLA

Aderohunmu, Femi A., et al. "Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity." IJBDCN vol.7, no.4 2011: pp.18-31. http://doi.org/10.4018/jbdcn.2011100102

APA

Aderohunmu, F. A., Deng, J. D., & Purvis, M. (2011). Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity. International Journal of Business Data Communications and Networking (IJBDCN), 7(4), 18-31. http://doi.org/10.4018/jbdcn.2011100102

Chicago

Aderohunmu, Femi A., Jeremiah D. Deng, and Martin Purvis. "Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity," International Journal of Business Data Communications and Networking (IJBDCN) 7, no.4: 18-31. http://doi.org/10.4018/jbdcn.2011100102

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Abstract

While wireless sensor networks (WSN) are increasingly equipped to handle more complex functions, in-network processing still requires the battery-powered sensors to judiciously use their constrained energy so as to prolong the elective network life time. There are a few protocols using sensor clusters to coordinate the energy consumption in a WSN, but how to deal with energy heterogeneity remains a research question. The authors propose a modified clustering algorithm with a three-tier energy setting, where energy consumption among sensor nodes is adaptive to their energy levels. A theoretical analysis shows that the proposed modifications result in an extended network stability period. Simulation has been conducted to evaluate the new clustering algorithm against some existing algorithms under different energy heterogeneity settings, and favourable results are obtained especially when the energy levels are significantly imbalanced.

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Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity

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