ω-LLC: weighted low-energy localized clustering for embedded networked sensors

Authors:
Joongheon Kim;Wonjun Lee;Eunkyo Kim;Choonhwa Lee
Affiliations:
Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea;Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea;LG Electronics Institute of Technology, LG Electronics Co., Seoul, Republic of Korea;College of Information and Communication, Hanyang Univerity, Seoul, Republic of Korea
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

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Abstract

This paper addresses a weighted dynamic localized clustering unique to a hierarchical sensor network structure, while reducing the energy consumption of cluster heads and as a result prolonging the network lifetime. Low-Energy Localized Clustering, our previous work, dynamically regulates the radii of clusters to minimize energy consumption of cluster heads while the network field is being covered. We present weighted Low-Energy Localized Clustering (w-LLC), which consumes less energy than LLC with weight functions.