Enhanced Archimedes Optimization Algorithm for Clustered Wireless Sensor Networks  

作　　者：E.Laxmi Lydia T.M.Nithya K.Vijayalakshmi Jeya Prakash Kadambaajan Gyanendra Prasad Joshi Sung Won Kim 

机构地区：[1]Computer Science and Engineering,Vignan’s Institute of Information Technology(Autonomous),Andhra Pradesh,530049,India [2]Department of Computer Science and Engineering,K.Ramakrishnan College of Engineering,Tiruchirappalli,621112,India [3]Department of Electronics&Communication Engineering,Saveetha School of Engineering,Saveetha Institute of Medical and Technical Sciences,Chennai,600025,India [4]Department of Electronics&Communication Engineering,Kalasalingam Academy of Research and Education,Krishnankoil,626128,India [5]Department of Computer Science and Engineering,Sejong University,Seoul,05006,Korea [6]Department of Information and Communication Engineering,Yeungnam University,Gyeongsan-si,Gyeongbuk-do,38541,Korea

出　　处：《Computers, Materials & Continua》2022年第10期477-492,共16页计算机、材料和连续体（英文）

基　　金：This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(NRF-2021R1A6A1A03039493).

摘　　要：Wireless sensor networks(WSN)encompass a set of inexpensive and battery powered sensor nodes,commonly employed for data gathering and tracking applications.Optimal energy utilization of the nodes in WSN is essential to capture data effectively and transmit them to destination.The latest developments of energy efficient clustering techniques can be widely applied to accomplish energy efficiency in the network.In this aspect,this paper presents an enhanced Archimedes optimization based cluster head selection(EAOA-CHS)approach for WSN.The goal of the EAOA-CHS method is to optimally choose the CHs from the available nodes in WSN and then organize the nodes into a set of clusters.Besides,the EAOA is derived by the incorporation of the chaotic map and pseudo-random performance.Moreover,the EAOA-CHS technique determines a fitness function involving total energy consumption and lifetime of WSN.The design of EAOA for CH election in the WSN depicts the novelty of work.In order to exhibit the enhanced efficiency of EAOA-CHS technique,a set of simulations are applied on 3 distinct conditions dependent upon the place of base station(BS).The simulation results pointed out the better outcomes of the EAOA-CHS technique over the recent methods under all scenarios.

关 键 词：Wireless sensor network CH selection energy efficiency CLUSTERING LIFETIME 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]