Energy-efficient multipath routing in networking aid of clustering with OGFSO algorithm

Networking is made out of remote mobile nodes; these nodes progressively structure a network with no centralized controller. Due to this dynamic nature, the nodes act as routers to keep up routing and sending data bundles. Be that as it may, the mobile nodes do not have changeless power supply and need to depend on batteries; in this way, they consume more energy and lessen network lifetime. The proposed work considers the issue of energy consumption in MANET, and it is overwhelmed by the optimization of energy constraint. At first, the mobile nodes in MANET are grouped by the proposed K-medoid clustering algorithm, which can lessen the cost of the routing of data in huge and dense networks. From each cluster, the limited energy consumption-based multipath routing is accomplished by utilizing the opposition genetic-based fish swarm optimization algorithm. The exhibition of the proposed system will be evaluated as far as data transmission, service cost, network lifetime, etc., are concerned. Simulation results revealed that the energy efficiency and network lifetime of our recommended work are improved than those of existing work.