Broadcast Retransmission Algorithm Based on Potential Game in CRNs

Abstract

The potential game as a special type of game, compared to other types of game, has the finite increment property, the existence and uniqueness of Nash equilibrium and other good properties and can be used to solve the problem of resource allocation in cognitive radio networks (CRNs). Broadcast retransmission is a important function in CRNs, which need to be optimized in order to improve the efficiency and utilization of the networks. When packets failed to reach some receivers in broadcasting, retransmission occurs. Choosing an appropriate channel to delivery packages is critical to the efficiency and quality of data retransmission. In this paper, first, we establish a potential game model for broadcasting retransmission by taking into account of energy consumption and interference in the design of utility function and potential function in spectrum allocation. Then we propose Potential Game-Broadcasting Retransmission Algorithm (PG-BRA) based on potential game model. In PG-BRA, two broadcast retransmission mechanisms are designed to avoid “conflict” problems, named FRM and DRM. FRM is more suitable for static network topology and DRM is more suitable for dynamic network topology. The simulation results show that the PG-BRA proposed in this paper can effectively work in terms of packet reach rate, average retransmission times, average delay and the total transmission power of system compared with existing broadcasting scheme.