Metaheuristics Based Node Localization Approach for Real-Time Clustered Wireless Networks

作     者：R.Bhaskaran P.S.Sujith Kumar G.Shanthi L.Raja Gyanendra Prasad Joshi Woong Cho 

作者机构：Department of Information TechnologyPSNA College of Engineering and TechnologyDindigul624622India Department of Computer Science and EngineeringMEA Engineering CollegeMallapuram679325KeralaIndia Department of Electronics and Communication EngineeringRajalakshmi Institute of TechnologyKuthambakkamChennai600124India Department of Electronics and Communication EngineeringSri Eshwar College of EngineeringCoimbatore641202India Department of Computer Science and EngineeringSejong UniversitySeoul05006Korea Department of Software ConvergenceDaegu Catholic UniversityGyeongsan38430Korea 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2023年第44卷第1期

页      面：1-17页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by Ulsan Metropolitan City-ETRI joint cooperation project[21AS1600,Development of intelligent technology for key industries autonomous human-mobile-space autonomous collaboration intelligence technology] 

主　　题：Wireless networks real time applications clustering node localization energy efficiency metaheuristics 

摘      要：In recent times,real time wireless networks have found their applicability in several practical applications such as smart city,healthcare,surveillance,environmental monitoring,*** the same time,proper localization of nodes in real time wireless networks helps to improve the overall functioning of *** study presents an Improved Metaheuristics based Energy Efficient Clustering with Node Localization(IM-EECNL)approach for real-time wireless *** proposed IM-EECNL technique involves two major processes namely node localization and ***,Chaotic Water Strider Algorithm based Node Localization(CWSANL)technique to determine the unknown position of the ***,an Oppositional Archimedes Optimization Algorithm based Clustering(OAOAC)technique is applied to accomplish energy efficiency in the ***,the OAOAC technique derives afitness function comprising residual energy,distance to cluster heads(CHs),distance to base station(BS),and *** performance validation of the IM-EECNL technique is carried out under several aspects such as localization and energy efficiency.A wide ranging comparative outcomes analysis highlighted the improved performance of the IM-EECNL approach on the recent approaches with the maximum packet delivery ratio(PDR)of 0.985.