Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98321
Title: Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks
Authors: Li, Yihui
Xiao, Gaoxi
Singh, Gurpreet
Gupta, Rashmi
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2013
Source: Li, Y., Xiao, G., Singh, G., & Gupta, R. (2013). Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks. Wireless networks, 19(7), 1755-1768.
Series/Report no.: Wireless networks
Abstract: Clustering is a widely adopted energy-saving technique in wireless sensor networks (WSNs). In this paper, we study algorithms for finding the best locations of cluster heads in WSNs to minimize the overall energy consumption. Specifically, based on the assumption that the global information of all the sensors’ locations or location distribution is available, algorithms are proposed for finding (1) the best location of the cluster head in a single given cluster; (2) the best formation of a given number of clusters where each cluster head has to communicate with base station directly; and (3) the best formation of a given number of clusters where there can be ad-hoc transmission between cluster heads, respectively. For each case, algorithms are designed for free-space and multipath energy consumption models respectively. Theoretical analysis and extensive simulation results show that the proposed algorithms can steadily and quickly achieve satisfactory results. The calculation results of the proposed algorithms provide a useful benchmark for evaluating various local information-based distributed clustering schemes or schemes based on partial or inaccurate global information.
URI: https://hdl.handle.net/10356/98321
http://hdl.handle.net/10220/17262
DOI: 10.1007/s11276-013-0566-0
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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