A Clustering Algorithm Based on Spectrum Convergence Degree in Cognitive Wireless Mesh Network
Tingrui Pei · Natural Science Journal of Xiangtan University · 2012
According to the characteristic of time-varying channels in cognitive wireless Mesh network,a new clustering algorithm based on spectrum convergence degree(SCDC)is proposed.Based on the convergent factor of available spectrum quality and node’s geographical information,the algorithm optimizes the clustering by computing the node’s weight.The algorithm designs a constraint threshold of cluster member to balance network load effectively.The simulation results show that SCDC has a good performance on the cost of cluster management and spectrum utilization.