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The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey

Kulkarni, Raghavendra V., Venayagamoorthy, Ganesh Kumar·2011·IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)

Abstract

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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Metadata

Authors
Kulkarni, R. V., & Venayagamoorthy, G. K.
Venue
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
Published
2011-03
Volume
41
Issue
2
Pages
262-267
ISSN
  • 1094-6977 (ISSN-L)
  • 1558-2442
OpenAlex
W2306862514
Cited by
732
References
24
FWCI
33.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey. https://app.cochat.ai/papers/10.1109/tsmcc.2010.2054080
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Kulkarni, R. V., & Venayagamoorthy, G. K. (2011). Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). https://doi.org/10.1109/tsmcc.2010.2054080

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