Mobile Ad-Hoc Network Qos Improving Based On Wale Optimized Aodv Routing Protocol

In MANET, the routing problem is resolved by the nodes themselves, which reduces computing and resource prices. The whale optimization procedure is used in the search to select the appropriate parameter value for a special on-demand vector routing protocol (RP) to recover the quality of service (QoS) in MANET. The RP is resolved if agents are used as entities of the insect community as a metaphor when optimizing whales. Routing-based swarm agents explain the rules that participating nodes must follow. Swarm employees exchange information about their behavior in an adaptive and effectual manner in order to successfully complete the assigned tasks. Whale's optimization procedure uses the extreme target flow to favor the best places where agents can accumulate at every stage of the network. MATLAB is used to implement whale optimization. The results are used to model the AODV RP in the QUALNET software. Whale optimization is used to improve AODV performance with the QoS options: jitter, performance, and average latency.