2017
DOI: 10.14419/ijet.v7i1.5.9131
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Distributed fuzzy logic based cluster head election scheme (DFLCHES) for prolonging the lifetime of the wireless sensor network

Abstract: Wireless sensor networks (WSNs) is considered as the predominant technology due to their high suitability and adaptability that makes it possible to be deployed in wide range of applications like civil and military domain. But energy-constraint is the significant feature that needs to be addressed for sensor networks since energy drain of sensor nodes affects network lifetime, stability and co-operation of sensor nodes in the event of enforce reliable data dissemination. Cluster head election has to been perfo… Show more

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Cited by 5 publications
(3 citation statements)
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“…Thus, finding the true Tcl value shows the minimum number of groups, so, when the nodes do not have the same redundancy ratio, it became difficult. On the other hand, DFLCHES [ 24 ] introduces an effective CH election that enhanced the network lifetime by exploiting fuzzy clustering and the Genetic Algorithm (GA). However, the extensive calculation for measurement parameters, such as distance, hop count, centrality measure, and node density, depleted the energy quickly and shortened the network lifetime.…”
Section: Related Workmentioning
confidence: 99%
“…Thus, finding the true Tcl value shows the minimum number of groups, so, when the nodes do not have the same redundancy ratio, it became difficult. On the other hand, DFLCHES [ 24 ] introduces an effective CH election that enhanced the network lifetime by exploiting fuzzy clustering and the Genetic Algorithm (GA). However, the extensive calculation for measurement parameters, such as distance, hop count, centrality measure, and node density, depleted the energy quickly and shortened the network lifetime.…”
Section: Related Workmentioning
confidence: 99%
“…By exploiting the benefits of fuzzy clustering and the Genetic Algorithm (GA), DFLCHES 132 introduces an effective cluster head selection that enhancement the lifetime of the network. However, the extensive calculation such as node density, hop count, and centrality measure resulting in depletion of energy quickly and thus shortening the network lifetime.…”
Section: Service Discovery and Cluster‐based Routing Protocolsmentioning
confidence: 99%
“…Through the research on related scheduling algorithms, the control strategy and network scheduling algorithm can be reasonably modeled and systematically. This analysis has important practical significance for the development of physical exercise behavior network control system [6][7][8][9].…”
Section: Introductionmentioning
confidence: 98%