Enhanced Route Optimization Using Bat Algorithm in MANET

The MANET is described as a wireless dynamic topology network. It doesn’t have a centralized unit to control the other nodes and nodes are configured within the network. The trust route is very challenging issues in the network. The available routes are not sure to complete this data transmission task perfectly due to the dynamic topology and less centralized configuration. This reduces network performance such as packet drop or incomplete data transmission. In this paper, the Enhanced Route optimization techniques are introduced with the support of the Bat Algorithm (EROiBA) in MANET. This technique creates the trust and best route from source to destination. In fact, trust and the best routes are selected by the node iteration condition and the average total energy level of the nodes between the sources to destination. The iteration of the sender node is a detail of the previous performance ratio of the adjacent node evaluated by the source node. The EROiBA is simulated in ns-2 tools and observes this outcome such as packet delivery ratio, end-to-end delay and throughput. The results of the EROiBA is improved over existing work.