Design of Evolutionary Algorithm Based Unequal Clustering for Energy Aware Wireless Sensor Networks  

作　　者：Mohammed Altaf Ahmed T.Satyanarayana Murthy Fayadh Alenezi E.Laxmi Lydia Seifedine Kadry Yena Kim Yunyoung Nam 

机构地区：[1]Department of Computer Engineering,College of Computer Engineering&Sciences,Prince Sattam Bin Abdulaziz University,Al-Kharj,11942,Saudi Arabia [2]Chaitanya Bharathi Institute of Technology,Hyderabad,Telangana,India [3]Department of Electrical Engineering,College of Engineering,Jouf University,Sakaka 72388,Saudi Arabia [4]Department of Computer Science and Engineering,Vignan’s Institute of Information Technology,Visakhapatnam,530049,India [5]Department of Applied Data Science,Noroff University College,Kristiansand,Norway [6]Department of Electrical and Computer Engineering,Lebanese American University,Byblos,Lebanon [7]Artificial Intelligence Research Center(AIRC),College of Engineering and Information Technology,Ajman University,Ajman,United Arab Emirates [8]Department of ICT Convergence,Soonchunhyang University,Asan 31538,Korea

出　　处：《Computer Systems Science & Engineering》2023年第10期1283-1297,共15页计算机系统科学与工程（英文）

基　　金：This research was supported by the MSIT(Ministry of Science and ICT);Korea,under the ICAN(ICT Challenge and Advanced Network of HRD)program(IITP-2022-2020-0-01832)supervised by the IITP(Institute of Information&Communications Technology Planning&Evaluation)and the Korea Technology and Information Promotion Agency(TIPA)for SMEs grant funded by the Korea government(Ministry of SMEs and Startups)(No.S3271954)and the Soonchunhyang University Research Fund。

摘　　要：Wireless Sensor Networks(WSN)play a vital role in several real-time applications ranging from military to civilian.Despite the benefits of WSN,energy efficiency becomes a major part of the challenging issue in WSN,which necessitate proper load balancing amongst the clusters and serves a wider monitoring region.The clustering technique for WSN has several benefits:lower delay,higher energy efficiency,and collision avoidance.But clustering protocol has several challenges.In a large-scale network,cluster-based protocols mainly adapt multi-hop routing to save energy,leading to hot spot problems.A hot spot problem becomes a problem where a cluster node nearer to the base station(BS)tends to drain the energy much quicker than other nodes because of the need to implement more transmission.This article introduces a Jumping Spider Optimization Based Unequal Clustering Protocol for Mitigating Hotspot Problems(JSOUCP-MHP)in WSN.The JSO algorithm is stimulated by the characteristics of spiders naturally and mathematically modelled the hunting mechanism such as search,persecution,and jumping skills to attack prey.The presented JSOUCPMHP technique mainly resolves the hot spot issue for maximizing the network lifespan.The JSOUCP-MHP technique elects a proper set of cluster heads(CHs)using average residual energy(RE)to attain this.In addition,the JSOUCP-MHP technique determines the cluster sizes based on two measures,i.e.,RE and distance to BS(DBS),showing the novelty of the work.The proposed JSOUCP-MHP technique is examined under several experiments to ensure its supremacy.The comparison study shows the significance of the JSOUCPMHP technique over other models.

关 键 词：Wireless sensor networks energy efficiency cluster heads unequal clustering hot spot issue lifetime enhancement 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP212[自动化与计算机技术—计算机科学与技术]