An Improved Routing Node Selection Algorithm Based on Trust Evaluation

Abstract

With further consideration of factors that affect the value of the indirect trust, and depth analysis by statistical principles, we proposed a new trust value estimation model. On basis of this model, the method of cluster nodes election has been studied to design a rout decision-making algorithm which combined trust value, density, distance between nodes and forwarding capabilities. Experimental results show that the trust value assessment model built on trust value calculation is very reliable with increasing cycle times, trust value gradually moving to 1. The improved algorithm has faster convergence than algorithms in [5] and [6]. In information transfer process, when the routing nodes are within a certain range, and the algorithm is also more stable. When the network topology changes, the algorithm can be re-routed quickly, indicating that the algorithm has a wide range of applications.