Energy Optimization of Wireless Sensor Network Using Neuro-Fuzzy Algorithms

Ali, Mohammed

dc.contributor.author	Ali, Mohammed
dc.date.accessioned	2020-03-17T09:37:42Z
dc.date.available	2020-03-17T09:37:42Z
dc.date.issued	2020-03-17
dc.identifier.uri	http://hdl.handle.net/123456789/10542
dc.description.abstract	Wireless sensor network (WSN) is one of the recent technologies in communication and engineering world to assist various civilian and military applications. They are deployed remotely in sever environment which doesn’t have an infrastructure. Energy is a limited resource which needs eﬃcient management to work without any failure. Energy eﬃcient clustering of WSN is the ultimate mechanism to conserve energy for longtime. The majorobjectiveofthisresearchistoeﬃcientlyconsumeenergybasedontheNeuro-Fuzzy approach particularly adaptive Neuro fuzzy inference system (ANFIS). The signiﬁcance of this study is to examine the challenges of energy eﬃcient algorithms and the network lifetime on WSN. So that they can assist several applications. Clustering is one of the hierarchical based routing protocols which manage the communicationamongsensornodeandsinkviaClusterHead(CH),CHisresponsibletosendand receiveinformationfrommultiplesensornodesandmultiplebasestations(BS).Moreover theloadbalancebetweenthesensornodeandsinknodeisachievedthroughit. Thereare variousalgorithmsthatcaneﬃcientlyselectappropriateCHandlocalizethemembership ofClusterwithfuzzylogicclassiﬁcationparameterstominimizeperiodicclusteringwhich consumes more energy and we have applied neural network learning algorithm to learn variouspatternsbasedonthefuzzyrules. Wehavemeasuredhowmuchenergyhassaved from diﬀerent algorithms and we have compared to our Neuro-fuzzy logic. ConsequentlywehavedemonstratedthatourNeuro-Fuzzymodeloutperformsmorethan the other algorithms namely energy aware unequal cluster fuzzy (EAUCF), energy aware cluster Neuro-Fuzzy (EACNF) and energy eﬃcient cluster formation (EECF).	en_US
dc.language.iso	en	en_US
dc.subject	Information Technology	en_US
dc.title	Energy Optimization of Wireless Sensor Network Using Neuro-Fuzzy Algorithms	en_US
dc.type	Thesis	en_US