Abstract
Wireless sensor networks (simply WSN) is required to save the energy and prolong network lifetime when aggregating and transmitting data efficiently sampled by nodes. This paper put forwards a joint weight based dynamic clustering algorithm for WSN, JWDC. In cluster head selection phase, JWDC selects appropriate nodes as cluster heads by the weight model for cluster heads selection. In cluster formation phase, a sensor node chooses a proper cluster head to be one of its members according to the weight model of nodes clustering. Simulation results show that JWDC outperforms CDN and PPC in terms of network lifetime, data traffic and average quality of data aggregation.
This work is partially funded by Hubei Province Department of Education Foundation (Q20111003).
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Wang, L., Li, Y., Zhou, G. (2013). A Joint Weight Based Dynamic Clustering Algorithm for Wireless Sensor Networks. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_33
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DOI: https://doi.org/10.1007/978-3-642-45025-9_33
Publisher Name: Springer, Berlin, Heidelberg
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