Distributed Multi-hop Clustering Approach with Low Energy Consumption in WSN

作     者：R.Nithya Roobaea Alroobaea Ahmed Binmahfoudh Zairi Ismael Rizman 

作者机构：Department of Computer Science and EngineeringVivekananda College of Engineering for WomenTiruchengode637205Tamil NaduIndia Department of Computer ScienceCollege of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer EngineeringCollege of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia School of Electrical EngineeringCollege of EngineeringUniversiti Teknologi MARA23000DungunTerengganuMalaysia 

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45卷第4期

页      面：903-924页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程] 

基　　金：The authors are grateful to the Taif University Researchers Supporting Project number(TURSP-2020/36) Taif University Taif Saudi Arabia 

主　　题：Sensor node clustering routing energy consumption multi-path routing 

摘      要：The purpose of sensing the environment and geographical positions,device monitoring,and information gathering are accomplished using Wireless Sensor Network(WSN),which is a non-dependent device consisting of a distinct collection of Sensor Node(SN).Thus,a clustering based on Energy Efficient(EE),one of the most crucial processes performed in WSN with distinct environments,is *** order to efficiently manage energy allocation during sensing and communication,the present research on managing energy efficiency is performed on the basis of distributed *** of EE methods were incapable of supporting EE routing with MIN-EC in WSN in spite of the focus of EE methods on energy harvesting and minimum Energy Consumption(EC).The three stages of performance are proposed in this research *** the outset,during routing and Route Searching Time(RST)with fluctuating node density and PKTs,EC is reduced by the Hybrid Energy-based Multi-User Routing(HEMUR)model proposed in this *** efficiency and an ideal route for various SNs with distinct PKTs in WSN are obtained by this *** utilizing the Approximation Algorithm(AA),the Bregman Tensor Approximation Clustering(BTAC)is applied to improve the Route Path Selection(RPS)efficiency for Data Packet Transmission(DPT)at the Sink Node(SkN).The enhanced Network Throughput Rate(NTR)and low DPT Delay are provided by *** MAX the Clustering Efficiency(CE)and minimize the EC,the Energy Effective Distributed Multi-hop Clustering(GISEDC)method based on Generalized Iterative Scaling is *** Multi-User Routing(MUR)is used by the HEMUR model to enhance the EC by 20%during *** compared with other advanced techniques,the Average Energy Per Packet(AEPP)is enhanced by 39%with the application of proportional fairness with Boltzmann Distribution(BD).The Gaussian Fast Linear Combinations(GFLC)with AA are applied by BTAC method with an enhanced Communication Overhead(COH)for an increase in performance