Minimization of energy consumption in MANET using optimized k-medoid PSO Clustering Model

The (MANET) mobile ad hoc network connect with one another across wireless networks without relying on a central hub for network operations. In a decentralised network, individual mobile nodes take on more and more responsibility for the overall architecture of the system. Given that the routing and data transmission between nodes are impacted by the network's changing topology. The nodes' role as routers in the constant routing and transmission of data bundles is made necessary by this inherent volatility. The problem is that the mobile nodes, which rely on batteries instead of a constant power source, are the biggest consumers of energy in the network because they have to constantly recharge their power. The proposed work takes into account the delinquent of energy consumption in MANET, and finds that the optimization of energy constraint completely dominates the problem space. To begin, the MANET's mobile nodes are clustered using the suggested K-medoid clustering procedure, which helps to lessen the high cost of data routing in extremely large and dense networks. Modification of discrete particle swarm optimization procedure is a metaheuristic algorithm used to bargain the best possible value for the k-medoid algorithm, which is then used to develop a low-power protocol for exchanging information. packet delivery ratio, and throughput are the metrics used to compare different protocols. The results of the simulation analysis show that using this approach reduces the time needed for the method to run and boosts the nodes' energy efficiency.