QOS Improvement in MANET Routing by Route Optimization through Convergence of Mobile Agent

A Mobile ad-hoc network (MANET) is collection of mobile devices that desire to communicate in the lack of any fixed infrastructure so, in this environment every mobile nodes works as a router in itself. In this type of wireless network, any node can leave or join network at any movement. Besides it this type of networks have some other challenging characteristics as regularly changing topology, high mobility, narrow bandwidth. Conventional routing protocols focused on finding shortest path rather than Quality of Service path. Link breakage is the main reason of high mobility as well as lack of energy of wireless nodes. In the lack of resources, traffic density leads to congestion. So, the performance of routing protocol degrades in this type of networks. But it is not so easy task to take multiple QoS parameters for finding optimal route. Mobile software agent technology with unique features like mobility, autonomous, intelligent and adaptability can solve this problem. This research paper focuses on designing routing model using mobile agent paradigm. The proposed model attempts to find more optimal path by considering multiple QoS parameters like stability, delay, congestion and energy of the node. Simulation is done using Matlab simulator & the simulation output shows that our proposed model is more reliable than traditional hop by hop AODV for finding the route from source node to destination node.