2015
DOI: 10.5815/ijcnis.2015.04.07
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Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol for Wireless Sensor Networks

Abstract: Abstract-The Wireless Sensor Network (WSN) is made up with small batteries powered sensor devices with limited energy resources within it. These sensor nodes are used to monitor physical or environmental conditions and to pass their data through the wireless network to the main location. One of the crucial issues in wireless sensor network is to create a more energy efficient system. Clustering is one kind of mechanism in Wireless Sensor Networks to prolong the network lifetime and to reduce network energy con… Show more

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Cited by 28 publications
(15 citation statements)
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References 23 publications
(43 reference statements)
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“…In order to select a suitable CH, it is imperative to appropriately set parameters for considerations. A fuzzy descriptor for CH selection has been investigated by many researchers [13][14][15][16][17][18][19]. In a study by [20], the authors employed residual energy as an input parameter, whereas such parameter is preferred by the researchers.…”
Section: Related Workmentioning
confidence: 99%
“…In order to select a suitable CH, it is imperative to appropriately set parameters for considerations. A fuzzy descriptor for CH selection has been investigated by many researchers [13][14][15][16][17][18][19]. In a study by [20], the authors employed residual energy as an input parameter, whereas such parameter is preferred by the researchers.…”
Section: Related Workmentioning
confidence: 99%
“…In the previous researches, so many research approaches have been used to solve the problem of WSNs. Researchers [15][16][17][18] suggest many approaches based on different criteria. Many protocols for WSNs proposed previously assume that the nodes are static.…”
Section: Introductionmentioning
confidence: 99%
“…General defuzzification technique is the centroid that gives the value of centre area in a fuzzy set to obtaina collated conclusion [22].…”
Section: Fuzzy-based Ch Selectionmentioning
confidence: 99%