2013
DOI: 10.4304/jsw.8.10.2660-2667
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LEACH-G: an Optimal Cluster-heads Selection Algorithm based on LEACH

Abstract:

As a classic clustering algorithm, LEACH is widely used in wireless sensor networks. Due to the random cluster head selection process, LEACH does not guarantee optimization for the number and position of cluster heads. In order to further optimize LEACH, an optimal en… Show more

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Cited by 28 publications
(7 citation statements)
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“…Amplification of two different signals for this purpose is a difficult problem. Chen et al (2013) proposed taking uncertainty in number of CHs into account and their location. Optimal CHs are given by the equation proposed.…”
Section: Related Research Workmentioning
confidence: 99%
“…Amplification of two different signals for this purpose is a difficult problem. Chen et al (2013) proposed taking uncertainty in number of CHs into account and their location. Optimal CHs are given by the equation proposed.…”
Section: Related Research Workmentioning
confidence: 99%
“…Some of the work of researchers in WSN clustering protocols have described below. Hongwei Chen et al (2013) [19] defined that LEACH is most prominent energy efficient mechanism that is widely used for enhancing the performance of the WSN. LEACH performs the random selection.…”
Section: Related Workmentioning
confidence: 99%
“…The first and most famous proposed protocol to reduce energy consumption using adaptive clustering of nodes is lowenergy adaptive clustering hierarchy (LEACH) [19] protocol. After this protocol, until today many and various clustering based protocols have been proposed that all of them attempt to overcome the challenges involved in this protocol of which [20][21][22] protocols can be noted. In this protocol, in each round cluster heads are selected, then the non-cluster head nodes give information to the nearest cluster head and the cluster head, after collection and compression of data, sends the ultimate data to the main centre for further processing.…”
Section: Related Workmentioning
confidence: 99%