A PSO-based improved clustering algorithm for lifetime maximisation in wireless sensor networks

作     者：Singh, Santar Pal Sharma, S.C. 

作者机构：Computer Science and Engineering Galgotias University Greater Noida Greater NoidaUttar Pradesh201310 India Electronics and Computer Discipline DPT Indian Institute of Technology Roorkee RoorkeeUttarakhand247667 India 

出 版 物：《International Journal of Information and Communication Technology》 (Int. J. Inf. Commun. Technol.)

年 卷 期：2021年第18卷第2期

页      面：224-241页

核心收录：

学科分类：0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 0808[工学-电气工程] 0817[工学-化学工程与技术] 08[工学] 0807[工学-动力工程及工程热物理] 0703[理学-化学] 0835[工学-软件工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work is supported by Ministry of Human Resource Development (MHRD) under research grant for doctoral studies.S.C. Sharma is working as a Professor in Electronics and Computer Discipline  DPT  IIT Roorkee. He received his MSc in Electronics  MTech in Electronics and Communication Engineering and PhD in Electronics and Computer Engineering from IIT Roorkee (erstwhile University of Roorkee). He has published over two hundred research papers in national and international journals/conferences and supervised more than 30 projects/dissertation of PG students. He has supervised 20 PhDs in the area of computer networking  wireless network  computer communication and continuing supervising PhD students in the same area. He has successfully completed several major research projects independently funded by various government agencies like AICTE  CSIR  MHRD  DST  and DRDO 

主　　题：Energy efficiency 

摘      要：A wireless sensor network (WSN) is comprised of miniature devices known as sensor nodes. Sensor nodes are highly energy restrained due to their battery dependent operations and harsh area deployment. It is unviable to change their batteries. For maximising the network lifetime, energy conservation is a crucial measure of performance of WSNs. So, energy consumption and network lifetime are crucial issues in WSNs. Large portion of energy consumed in communication process. Several routing algorithms have been proposed in WSNs. Based on network structure, routing algorithms are divided into flat based, cluster based, and location-based algorithms. Due to energy efficiency, cluster-based routing is the best choice. In this paper, we propose a swarm based clustering algorithms for WSNs. We perform the analysis of our new algorithms with LEACH, LEACH-C, and HEED on the basis of energy, number of alive nodes, delay, PDR, and throughput. Simulation confirms that proposed algorithm outperform the other ones. Copyright © 2021 Inderscience Enterprises Ltd.