Abstract
One of the most important considerations in designing sensor nodes in a wireless sensor networks is to extend the network lifetime by minimizing an energy consumption with limited resources. In this paper, we propose an Energy-Efficient Cluster Head Election (EECHE) algorithm in sensor networks The proposed algorithm divides cluster area into two perpendicular diameters, and then elects cluster head by the density of member nodes and the distance from cluster head. Through the simulation experiments, we showed that our algorithm has improves the performance of cluster head election and provides more energy-efficient.
This research has been supported by a grant from the Korea Electronics Technology Institute 2008.
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Bandyopadhyay, S., Coyle, E.J.: An energy efficient hierarchical clustering algorithm for wireless sensor networks. In: INFOCOM 2003, April 2003, vol. 3, pp. 1713–1723 (2003)
Xin., G., YongXin., W., Nas, L.F.: An Energy-Efficient Clustering Technique for Wireless Sensor Networks, pp. 248–252. IEEE Computer Society, Los Alamitos (2008)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient Communication Protocol for ireless Microsensor Networks. In: Proceedings of HICSS (2000)
Younis, O., Fahmy, S.: HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks. IEEE Trans. Mobile Computing 3(4), 366–379 (2004)
Bandyopadhyay, S., Coyle, E.J.: Minimizing communication costs in hierarchically-clustered networks of wireless sensor. Computer Networks 44(1), 1–16 (2004)
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© 2009 Springer-Verlag Berlin Heidelberg
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Lee, K., Lee, J., Park, M., Kim, J., Shin, Y. (2009). EECHE: An Energy-Efficient Cluster Head Election Algorithm in Sensor Networks. In: Hong, C.S., Tonouchi, T., Ma, Y., Chao, CS. (eds) Management Enabling the Future Internet for Changing Business and New Computing Services. APNOMS 2009. Lecture Notes in Computer Science, vol 5787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04492-2_59
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DOI: https://doi.org/10.1007/978-3-642-04492-2_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04491-5
Online ISBN: 978-3-642-04492-2
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