An indirect reciprocity based incentive framework for cooperative spectrum sensing

摘要: To overcome the hidden terminal problem a secondary user (SU) may encounter, cooperative spectrum sensing (CSS) is proposed and gained much attention in last decades. However, due to selfish nature, SUs not cooperate unconditionally as most previous works have assumed. Therefore, how stimulate play cooperatively an important issue. In this paper, we propose reputation-based CSS incentive framework, where cooperation stimulation modeled indirect reciprocity game. game, choose report their results fusion center (FC) gain reputations, based on which they can access certain amount of vacant licensed channels future. For derive theoretically optimal action rule, according SU will truthfully its result when estimated average energy equal or higher than given threshold vice versa. The decision accuracy FC thereby be greatly improved. Moreover, condition under rule evolutionarily stable. Finally, simulation are shown verify effectiveness scheme.