Aiming at issue of trust decisions among WSNs nodes which can affect WSNs instability

introduce an imbalance rewards and penalties mechanism. The unreliable factors exist in the real networks

introduce rate of the package loss

built on evolutionary trust model of WSNs nodes based on imbalance rewards and penalties mechanism. By the evolutionary trust model

deduce the nodes state of interaction. In the end

through the experimental analysis on various changes of nodes in the selection strategy

effect of the imbalance rewards and penalties mechanism on the evolution of the convergence time. Through the experiment

the effect of the imbalance rewards and penalties mechanism is verified by the results of 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.