A multi-objective function derived for traffic capacity enhancement using hybrid optimization of energy-aware routing in ad hoc wireless network

Wireless Adhoc Networks (WANET) undergoes different dynamic environments and have different topologies throughout communication. Routing schemes have enlightened Adhoc communication through a selection of proper paths and increased the efficiency of the communication. With energy-aware routing, the routing path concentrates on establishing the path considering the energy factors of the node and aims to prolong the network lifetime. The shared network bandwidth creates a lot of bottleneck problems and increases the network traffic. Hence, it is necessary to implement an energy-aware routing model in consideration of improved network traffic. Therefore, an effective energy-efficient optimal routing task is implemented to improve the traffic capacity of the Adhoc wireless network. Initially, from the available resources, the necessary data attributes are gathered. Further, the energy-aware optimal routing process is carried out in the Adhoc wireless network by employing Fusion of Snow Leopard Optimization with Lotus Effect Optimization Algorithm (FSLOLEO). Here, the multi-objective functions including residual energy, congestion, link stability, routing overhead, and route quality are considered by the same FSLOLEO for route creation. With the support of this energy-aware optimal routing process, the traffic capacity and lifespan of the network are improved and also the energy consumption is set to be minimized. At last, a detailed performance validation is performed for the designed process by comparing it with the traditional algorithms to prove the designed energy-aware optimal routing mechanism’s efficacy. Here, the developed method achieves a better throughput value of 97 % to prove its optimal energy-aware routing performance in wireless Adhoc networks.