A novel relay selection strategy based on deterministic small world model on CCN

In relatively homogeneous CCN (cooperative communication network), it is very important to determine which relay nodes participate in CC (cooperative communication), that makes the system achieve the maximum signal-to-noise ratio and energy efficiency, and ensure the fairness of node. Since the CCN usually has obvious small world characteristics, in this paper a CCN evolution model based on deterministic small world model was firstly proposed. The properties of CCN evolution model were analyzed such as degree distribution, average clustering coefficient and average path length. Then, based on CCN evolution model, a relay selection strategy with both max-degree and min-clustering coefficient was proposed. The effectiveness of the strategy is verified by comparison and analysis. The results of paper are more significant for building CCN to optimize resource and path of relay selection.