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Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/577668
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dc.contributor.authorVinodh P. Vijayan
dc.contributor.authorN. Kumar
dc.date.accessioned2023-11-06T02:46:16Z-
dc.date.available2023-11-06T02:46:16Z-
dc.date.issued2016-07
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:82900
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/577668-
dc.descriptionMultipath transmission of raw sensor signals is the customary technique used in the wireless sensor network to improve end-to-end delivery. However, this technique suffers significantly because of the occurrence of multiple copies of data at the destination and their collision. The Collision-Free Nearest Neighbour Assertion (CNNA) method with n-d tree structure improves the collision removal which, in turn, avoids duplicate packets, but load balancing among neighbouring nodes is an essential issue. Optimising network performance by considering various network parameters and load balancing the network demands a good evolutionary-based optimisation technique other than traditional algorithms. Optimisation techniques based on Particle Swarm Optimisation (PSO) and Genetic Algorithm (GA) are applied and compared against various network parameters in this work.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journal of Social Sciences & Humanities
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-24-2-7
dc.subjectCollision-Free Nearest Neighbour Assertion (CNNA)
dc.subjectGenetic algorithm (GA)
dc.subjectMultipath transmission
dc.subjectParticle Swarm Optimisation (PSO)
dc.titleCoverage and lifetime optimization of wsn using evolutionary algorithms and collision free nearest neighbour assertion
dc.typeJournal Article
dc.format.volume24
dc.format.pages371-379
dc.format.issue2
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