A method of finding optimal number of clusters in a wireless network based on power efficiency using MOPSO
Harinandan Tunga, Debasis Giri · Journal of Decision Analytics and Intelligent Computing · 2023
Sensors play an important role in monitoring, detecting, and recording the physical and environmental conditions of a particular place. These physical conditions mainly include temperature, sound, wind, etc. These nodes are connected to each other via a transmission channel, and the nodes are battery-operated. So, energy-efficient algorithms are needed to reduce energy consumption in the overall setup and increase the lifetime of sensor nodes. In this paper, we propose a method to solve the problem of routing in “Wireless Sensor Networks," forming clusters such that there are minimal node transfers and the overall energy consumption of the system is reduced. We have implemented the Multiple Objective Particle Swarm Optimization (MOPSO) algorithm to devise a technique that considers several parameters like temperature, minimal clustering, routing path distance, and energy efficiency to obtain optimal clusters.