Modeling Performance Optimization in a Non- Cooperative Ad Hoc Network

Mobile ad hoc networks represent a special class of dynamic networks. Here nodes act as both hosts and routers whereby the routing protocol forms the backbone of such networks. Mobile ad hoc networks are constrained by bandwidth, energy and ever changing topologies. Thus to conserve some of these scarce resources, a few nodes may stop cooperation. In this paper we model a dynamic noncooperative scenario. To investigate the optimal performance of routing, we consider reinforcement learning based routing algorithm. Mobility models have a profound effect on the functioning of ad hoc networks and thus we study the effect of Gauss Markov Model and Optimized City Section Model on routing protocol performances.