BAR: Bandwidth-aware opportunistic localized-routing for cognitive radio networks

In this paper, we propose the bandwidth-aware localized-routing that can sense the available spectrum bands within two-hop neighboring for choosing the highly opportunistic routes. Based on the mixed-integer linear programming (MILP) and through our proposed algorithm, we can determine the maximum of minimization bandwidth possible of links pairs through bandwidth approximation of relaxed variables, leading to reduce the computational complexity in the network. This allows selected routes corresponding to maximize bandwidths possible between CR users, which are based on behaviors of primary services, can be utilized the links pairs effectively. Simulation results show the efficiency of our proposed algorithm in CRNs.