MP2P Resource Node Selection Strategy based on Reputation and Bayesian Game

Abstract

The MP2P (mobile peer-to-peer) topology is limited by wireless bandwidth, battery energy, the unreliable and the move node, this paper proposes a selection strategy to improve safety and assets node which based on Reputation and Bayesian Game in MP2P network. The proposed method is including two steps. First, using the dynamic BGT (Bayesian Game Theory) to gain the reputation of resource node. Secondly, using the static Bayesian Game theory to connect the resource nodes, the strategy can efficiently reduce failure rate of the resource nodes and shorten the query delay, thereby greatly improving the resource downloading rate.