Energy Efficient Routing Protocol in Manet using Eagle Search Algorithm

Mobile Adhoc Networks (MANETs) are overburdened with stagnant traffic. As a result, the routing protocol for energy-efficient with load balancing has become an urgent need for MANET, especially given the limited battery resources in the nodes. Most of the existing routing protocols are time-consuming because they consider power at the expense of time and over-routing. An energy-saving, meta-inference-based load balancing protocol is an alternative model that is more challenging than traditional routing schemes. Therefore, in this research activity, a meta-inference-based Bald Eagle Search (BES) approach is developed for an optimal routing protocol for balancing the load in energy usage. There are three major steps used in the BES, while hunting the fish. Initially, the location of the vast number of prey is selected by an eagle in the space selection stage; the searching process of prey is carried out by moving into the selected space during the space search stage. Finally, during the dive stage, the best point is identified for hunting by swings from the best position that are determined in the second stage. Therefore, the optimal path is identified by the proposed BES, while considering the parameters of energy, bandwidth, delay, reliability, and quality. Finally, the proposed algorithm supports Quality of Services (QoS) and finds the shortest path from one source to the destination with the lowest power consumption. When analyzing the results based on simulation, the proposed BES scheme showed a significant improvement in better battery life, less energy consumption, and high throughput.