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Rao Algorithm.-Based Structure Optim.zation for Heterogeneous Wireless Sensor Networks

Com.uters, m.terials & Continua 2024年第1期78卷 873-897页

作者： Shereen K.Refaay Sam.a A.Ali m.um.n T.el-melegy Louai A.m.ghrabi Ham.y H.el-Sayed Faculty of Com.uters and Artificial Intelligence Sohag UniversitySohag82524Egypt Faculty of Engineering Assiut UniversityAssiut711745Egypt College of Engineering University of Business and TechnologyJeddah23411Saudi Arabia

The structural optim.zation of wireless sensor networks is a critical issue because it im.acts energy consum.tion and hence the network’s *** studies have been conducted for hom.geneous networks,but few have been perform.d for heterogeneouswireless sensor *** paper utilizes Rao algorithm. to optim.ze the structure of heterogeneous wireless sensor networks according to node locations and their initial *** proposed algorithm. lack algorithm.specific param.ters and m.taphorical *** proposed algorithm. exam.ne the search space based on the relations of the population with the best,worst,and random.y assigned *** proposed algorithm. can be evaluated using any routing protocol,however,we have chosen the well-known routing protocols in the literature:Low Energy Adaptive Clustering Hierarchy(LEACH),Power-Efficient Gathering in Sensor Inform.tion System.(PEAGSIS),Partitioned-based Energy-efficient LEACH(PE-LEACH),and the Power-Efficient Gathering in Sensor Inform.tion System. Neural Network(PEAGSIS-NN)recent routing *** com.are our optim.zed m.thod with the Jaya,the Particle Swarm.Optim.zation-based Energy Efficient Clustering(PSO-EEC)protocol,and the hybrid Harm.ny Search Algorithm.and PSO(HSA-PSO)*** efficiencies of our proposed algorithm. are evaluated by conducting experim.nts in term. of the network lifetim.(first dead node,half dead nodes,and last dead node),energy consum.tion,packets to cluster head,and packets to the base *** experim.ntal results were com.ared with those obtained using the Jaya optim.zation *** proposed algorithm. exhibited the best *** proposed approach successfully prolongs the network lifetim. by 71% for the PEAGSIS protocol,51% for the LEACH protocol,10% for the PE-LEACH protocol,and 73% for the PEGSIS-NN protocol;m.reover,it enhances other criteria such as energy conservation,fitness convergence,packets to cluster head,and packets to the base sta

关键词： Wireless sensor networks Rao algorithm. optim.zation LEACH PEAGSIS

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