期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：11
DOI：10.15680/IJIRCCE.2015.0311053
出版社：S&S Publications
摘要：Wireless sensor networks (WSNs) are networks of autonomous nodes used for monitoring an environment.Developers of WSNs face challenges that arise from communication link failures, memory and computational constraints,and limited energy. Many issues in WSNs are formulated as multidimensional optimization problems, and approachedthrough bio-inspired techniques. Particle swarm optimization (PSO) is a simple, effective and computationally efficientoptimization algorithm. It has been applied to address WSN issues such as optimal deployment, node localization,clustering and data-aggregation. This paper outlines issues in WSNs, introduces PSO and discusses its suitability for WSNapplications. It also presents a brief survey of how PSO is tailored to address these issues
