Single-Hop Sleep Scheduled Energy Conservation Technique in Wireless Sensor Networks using Particle Swarm Optimization
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Date
2022
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Department of Computer Science & Engineering, NITS
Abstract
The aim of this project is to propose a technique in extending the lifetime of Wireless Sensor Networks (WSN) deployed in an area. Generally, WSN devices has limited supply of energy, so extending the lifetime can be considered as one of the critical issues in this domain. We have used the Sleep Scheduling Algorithm to switch the sensors between sleep and active modes. For further efficient routing of the network, we have applied the Particle Swarm Optimization (PSO) algorithm to find the optimal cluster head. The use of the cluster head is to forward all the data collected from the nodes to the BS. When the energy goes below the defined critical point, next best node is selected to be the cluster head. We have implemented this technique in MatLab R2021a. We have seen some improvements in certain points which extends the lifetime of these devices without compromising with the quality of the results. We have also compared our results with previously proposed techniques in this project.