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Title	A Comparative Study Of Various Optimization Techniques Used In Wireless Sensor Networks
ID_Doc	815
Authors	Tiwari A.; Jain N.; Kumar M.
Year	2024
Published	2024 IEEE 4th International Conference on ICT in Business Industry and Government, ICTBIG 2024
DOI	http://dx.doi.org/10.1109/ICTBIG64922.2024.10911273
Abstract	The applications of wireless sensor networks (WSNs) in a variety of industries, including smart cities, health care, and environmental monitoring, have drawn a lot of attention. Nevertheless, in order to increase network performance, prolong lifespan, and boost efficiency, optimization techniques must be used due to sensor nodes' restricted resources. This work covers different optimization strategies used in WSNs and groups them into three categories: algorithms inspired by nature, heuristic approaches, and classical optimization strategies. We give a thorough taxonomy of these techniques, highlight important findings from the research, talk about the difficulties that have been faced, and suggest possible avenues for future investigation. © 2024 IEEE.
Author Keywords	Ant Colony Optimization; Genetic Algorithms; Nature-Inspired Algorithms; Optimization techniques; Particle Swarm Optimization; Wireless Sensor Networks

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