An Efficient Algorithm for Throughput Maximization and Delay Minimization in Cognitive Radio Wireless Mesh Network

Abstract: The main issue in current wireless network is radio resource usage. The main goal of cognitive radio networks is to increase spectrum utilization. Cognitive Radio Network is the current wireless technology requirement as it solves the problem of spectrum scarcity. In cognitive radio, route has been established between source and destination such that route causes minimum interference to other nodes, maximum packet delivery ratio and minimum delay. This project presents an improved method for channel allocation in cognitive radio wireless mesh network based on game theory and path is chosen based on highest value of performance index. Performance gains in terms of end-to-end throughput and end-to-end delay are demonstrated in comparison to a distributed algorithm. The algorithm is implemented using MATLAB.

Keywords: Game theory, Channel allocation, Performance index, Cognitive Radio Network.