A Trust Evolution Model for Wireless Senor Networks Nodes Based on Imbalanced Reward and Punishment Mechanism

Abstract

For the network instability problem caused by trust decisions among wireless senor networks nodes (WSNs), this paper introduces an imbalance reward and punishment mechanism. The unreliable factors exist in the real networks, so this paper introduced the package loss rate to build a trust evolution model for wireless senor networks nodes based on imbalance reward and punishment mechanism. By the trust evolution model, the state of interaction of nodes is deduced. At last, through the experiment, various changes of nodes selecting strategy and the effect of the imbalance reward and punishment mechanism on the evolution of the convergence time are analyzed, and the effect of the imbalance rewards and penalties mechanism is verified by the results of the WSNs, which is a kind of node’s initial trust strategy. The imbalance rewards and penalties mechanism for the evolution of the slow convergence in the model mechanism, and can reduce the initial nodes selection strategy trust ratio, which provides the theory basis for the design WSNs trust mechanism.