期刊
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
卷 41, 期 2, 页码 262-267出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCC.2010.2054080
关键词
Clustering; data aggregation; localization; optimal deployment; particle swarm optimization (PSO); Wireless-sensor networks (WSNs)
类别
资金
- National Science Foundation, USA [0529292, 0348221]
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [0529292] Funding Source: National Science Foundation
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 approached through bioinspired techniques. Particle swarm optimization (PSO) is a simple, effective, and computationally efficient optimization 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 WSN applications. It also presents a brief survey of how PSO is tailored to address these issues.
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