Game-based Data-Forward Decision Mechanism for Opportunistic Networks

Abstract

The appearance of plenty of intelligent devices equipped for short-distance wireless communications boosts the fast development of Opportunistic Networks application. As a special application, the Opportunistic Networks select the 'Store-Carry-Forward' routing pattern, instead of the usual hop-by-hop transmission mode. Aiming at the problem of forward-decision of the routing pattern, this paper introduces a new way based on game-theory with context of nodes. By selecting of four important context parameters and combined with Kalman Filter, the mechanism conducts the way of two-player games to do the decision of data-forward between two nodes. By this mechanism, the receiver node involves in the decision process and optimizes the performance and loads of it. The simulation results have shown that this mechanism enjoys superiority in delivery ratio and total consumption among forwarding.