A routing decision algorithm based on the trunk link for smart city

Abstract

We proposes a novel routing decisions method based on comprehensive trust value to solve the multi-source heterogeneous data routing problem in the smart city. The method combines four parameters-trust value, intensity, nodal pitch and forward capability — to work out information backtrack issue in the routing decisions algorithm. Through the statistical analysis, we obtain indirect trust value and direct trust value and present a comprehensive trust evaluation method. Then, the cluster node selection method is given. Experimental results show that the established trust value model is considerably reliable, and with the increase of cycle number, the trust value gradually tends to 1. In comparison with original algorithm and Dijkstra algorithm, this algorithm improves convergence speed largely and is stable when in the information transfer process. When the network topology changes, this algorithm can do fast rerouting. This shows that the algorithm has a significant effect in smart city data routing.