This research work presents two optimization algorithms to optimize the path and energy in the wireless sensor network. Minimum Spanning Tree (MST) and Particle Swarm Optimization (PSO) algorithms both are utilized to optimize the path and energy of a system, which is connected on a fifty nodes network deployed randomly on 100x100 meters region. The proposed scheme is for the constrained improvement problem, or more explicitly, a weighted spanning tree problem and its appliance to Wireless Sensor Network (WSN) is examined here where definite exploratory discoveries on the energy improvement of the network have been exhibited.
Muhammad Zahoor Improved Steiner Tree Scheme Applied to Wireless Sensor Networks for Path and Energy Optimization International Journal of Engineering Works Vol. 6 Issue 10 PP. 347-353 October 2019
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