IMPROVE COHERENCE IN MULTI-HOP WIRELESS SENSOR NETWORKS THROUGH PSO FOR SENSOR DEPLOYMENT
N.R Solomon Jebaraj, S.K. Manjubargavi · 2023
Wireless multi-hop communication is essential for deploying networks, nodes, and sensors in real-time applications. Multi-hop communication occurs whenever sensor nodes have limited communication range and the number of sensor nodes in the network is very large. Deployment efficiency indicates whether the node location is suitable for clustering. When a position becomes unsuitable for deploying nodes, the particle swarm optimization algorithm gives statisticson improved deployment position. Select the appropriate node positions, installation of nodes, configure the nodes are derived for the network deployment. Using medium access control (MAC) protocols, the sensor is used to transmit the data without collision avoidance within those sensor nodes. High positioning of a chosen node with deployment attributes performs similarly to a designed packet network. Hence, to enlarge the designated the network performance, overall effect of performance degradation gets diminished.The purpose of this research is to attain improved network performance with multiple sensor distribution and improve node positioning in multi-hop WSNs. Particle swarm optimization (PSO) is determined for a multidimensional vector space of networks with minimum and maximum functional states.Simulation results show that the proposed algorithm effectively mitigates multi-hop wireless communication and significantly improves sensor deployment.