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This paper presents a Q-learning based scheme for managing the partialcoverage problem and the ill-effects of free riding in unstructured P2Pnetworks. Based on various parameter values collected during query routing,reward for the actions are computed and these rewards are used for updating thecorresponding Q-values of peers. Thus, the routing is done through only nodeswhich have shown high performance in the past. Simulation experiments areconducted in several times and the results are plotted. Results show that theproposed scheme effectively manages free riders, generates high hit ratio,reduces network traffic and manages partial coverage problem.

An Enhanced Search Technique for Managing Partial Coverage and Free Riding in P2P Networks