Gossip-based supervision for wireless autonomic networks and services

Free riding is among the fundamental issue that P2P systems are facing. Large populations, high turnover, asymmetry of interest, collusion, zero-cost identities, and traitors; makes this issue further challenging. To tackle these challenges we proposed a cluster based gossiping protocol for P2P system in order to overcome the “tragedy of common” or lack of cooperation (free riding) among nodes. Our System detects the selfish nodes in a system by maintaining a reputation index of the nodes. Cluster based gossiping is distributed supervision approach based on self organization of autonomic components. Through simulation, we show that our technique can drive a system to nearly optimal levels of cooperation.