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Applications of Particle Swarm Optimization in Wireless Communication System

Enem Theophilus Aniemeka *, Oyajide Depo Olukayode **

* Department of Computer Science, Air Force Institute of Technology, Nigerian Air Force Base, Kaduna, Nigeria.

** Department of Electrical and Electronic Engineering, Osun State Polytechnic Iree, Osun, Nigeria.

Periodicity:January - June'2020
DOI : https://doi.org/10.26634/jwcn.8.4.17178

Abstract

Particle Swarm Optimization (PSO) is a popular technique used to solve optimization problems in WSNs due to its simplicity, high quality of solution, fast convergence and insignificant computational burden. However, iterative nature of PSO can prohibit its use for high-speed real-time applications, especially if optimization needs to be carried out frequently. 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. The objective of this paper is to give a flavor of PSO to researchers in WSN, and to give a qualitative treatment of optimization problems in WSNs to PSO researchers in order to promote PSO in WSN applications.

Keywords

Algorithms, PSO, Optimization and Wireless Communication

How to Cite this Article?

Aniemeka, E. T., and Olukayode, O. D. (2020). Applications of Particle Swarm Optimization in Wireless Communication System. i-manager’s Journal on Wireless Communication Networks , 8(4), 15-19. https://doi.org/10.26634/jwcn.8.4.17178

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