Optimized Sink Node Positioning in Wireless Sensor Networks Using Firefly Algorithm and Geometric Positioning Techniques

Author (s) : R. Padmaraj and K. Selvakumar

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Abstract :
Many of the applications in the environment and industrial automation like health care, industries and transport system use WSN with the intention of achieving proper management of the sensor node that will improve the longevity of the node and the overall network. The position of the sink node that gathers and forwards data from the sensor nodes is a direct determinant of the network performance and energy consumption. In this paper, a novel sink node positioning scheme for WSNs is proposed using the FA and GPTs. The FA, which is inspired by the natural bioluminescent communication of fireflies, is an adaptive metaheuristic optimization algorithm that optimizes the sink’s position in terms of energy and average distance. The FA, which imitates the attraction and motion of fireflies, identifies sink locations that are either optimal or suboptimal in terms of minimizing energy consumption in the network and maximizing the lifespan of the network. The analysis of the results of the simulation indicates that the FA outperforms PSO, GA, SA, ACO, and WOA in terms of the various parameters. FA has the least energy consumption, least average distance to sink, maximum network lifetime, and maximum positional stability, making it ideal for real-time WSN applications. This approach offers a possible solution to the issue of WSN sustainability and efficiency.

Keywords : Wireless Sensor Networks, Region of Interest, Sensor Node.

Conference Date : 11.03.2022

Pages : 34-41

Paper ID : 118951