IAN: Interference-aware routing geometry on proximity for cognitive radio networks

In this paper, we propose the interference-aware routing geometry algorithm that can approximate the interference percentage of the multiple overlapping transmissions between primary network and secondary network in cognitive radio networks for balancing routing costs. This algorithm allows selected routes that are corresponding to the fair costs for routing performance in cognitive networks. We also utilize the cumulant of the aggregate interference as the interference model in order to analyze the impact of overlapping interference in terms of varying distances in the network. Simulation results demonstrate the efficiency of our proposed algorithm and distance-based analysis in CRNs.