Enhancing AODV Routing Protocol to Predict Optimal Path Using Ant Colony Algorithm in MANET

摘要

Mobile Ad-hoc Network (MANET) was a military idea. It's a network consists of mobile nodes that communicate and exchange information with each other using wireless links. MANET optimal operation faces many challenges, the most important one is selecting the optimal path between mobile nodes. It is not an easy process because of the characteristics of mobile nodes in MANET like energy restriction, node velocities, and coverage of mobile nodes, all of these parameters lead to a dynamic change in MANET topology. Ant Colony Optimization (ACO) algorithm is a form of a self-organized model that is based on Stigmergy concept. It is used in AODV to help in the selection of an optimal path between nodes based on different parameters. In this research, we proposed an enhancement of AODV routing protocol to predict optimal path between mobile nodes based on different parameters using ACO, we compared the proposed model (ORA_AODV) with AODV. The results showed that ORA_AODV has a higher Packet Delivery Ratio and a lower End to End Delay.