A Trust Model for UASNs Based on Link Assessment and Prediction

Abstract

The quality of dynamic underwater acoustic communication link will affect the accuracy of trust calculation, and poor quality link has a negative impact on the trust of normal nodes. To solve this problem, the trust model in this paper proposes a trust update strategy based on link assessment. The method of trust evaluation is based on whether the link is reliable. And, a markov chain based trust prediction method is introduced to predict the trust of nodes when the link is unreliable. Simulation results show that the proposed trust model can improve the detection rate of malicious nodes.