Enhancing the Performance of Wireless Routing Protocols of MANET using AI

The main goal of Mobile Ad hoc Network (MANET) is connecting mobile devices directly without central point (peer to peer), which makes it popular area of research. MANET is running using routing protocols that enable mobile devices (nodes) to communicate to each other. Different types of routing protocols have been designed that depend on different strategies in order to establish and maintain connections between mobile nodes. Nowadays, Artificial Intelligence (AI) has involved in all fields of science and technology aiming to enhance the performance and gaining accurate results. This research aims to design and implement a wireless routing protocol for MANET based on AI (Ant-OBS - Ant on Behalf of Source) in order to enhance the performance of network in terms of network overhead and power consumption. The proposed protocol benefits from the behavior of ant insect. A mathematical model is designed to model the proposed protocol; the output of the model performs well when it is compared to AODV and LAR1 routing protocols.