A novel adaptive routing protocol for manets using reinforcement learning and CMAC

CHETRET DAVID LOUIS CHARLES

Publication

A novel adaptive routing protocol for manets using reinforcement learning and CMAC

CHETRET DAVID LOUIS CHARLES

Abstract

This thesis deals with Mobile Ad Hoc Networks. A novel routing scheme, which combines the on-demand routing capability of Ad Hoc On-Demand Vector (AODV) routing protocol with a Q-routing inspired route selection mechanism, is proposed. The scheme makes routing choices based on local information (such as mobility, power remaining at the neighboring nodes) and past experience. The CMAC (Cerebellar Model Articulation Controller) function approximator is used to accelerate the reinforcement learning. The scheme is effective in improving end-to-end delay, without requiring much of the limited network resources.