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Review on Swarm Intelligence Optimization Techniques for Obstacle-Avoidance Localization in Wireless Sensor Networks

Saravanan, Palani and Harriet, Puvitha Review on Swarm Intelligence Optimization Techniques for Obstacle-Avoidance Localization in Wireless Sensor Networks. International Journal of Pure and Applied Mathematics, 2018, vol. 119, n. 12, pp. 13397-13408. [Journal article (Paginated)]

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English abstract

Wireless sensor network (WSN) is an evolving research topic with potential applications. In WSN, the nodes are spatially distributed and determining the path of transmission high challenging. Localization eases the path determining process between source and destination. The article, describes the localization techniques based on wireless sensor networks. Sensor network has been made viable by the convergence of Micro Electro- Mechanical Systems technology. The mobile anchor is used for optimizing the path planning location-aware mobile node. Two optimization algorithms have been used for reviewing the performacne. They are Grey Wolf Optimizer(GWO) and Whale Optimization Algorithm(WOA). The results show that WOA outperforms in maximizing the localization accuracy.

Item type:	Journal article (Paginated)
Keywords:	Wireless Sensor Network, Localization, Mobile Node, 3D path planning
Subjects:	B. Information use and sociology of information B. Information use and sociology of information > BC. Information in society.
Depositing user:	Raster Daster
Date deposited:	02 Aug 2018 07:30
Last modified:	02 Aug 2018 07:30
URI:	http://hdl.handle.net/10760/33261

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