Evolutionary Game Model for Data Aggregation Precision in Wireless sensor networks

Aiming at the precision problem of data fusion technology in wireless sensor networks (WSNs), an evolutionary game model based on the precision of data fusion is proposed in this paper. The model has fully considered the topology changes resulting from the attack and from the energy problem. The model has also considered the strategy selection problem of selfish nodes in data fusion process. Dynamically evolutionary replication equations based on the precision of data fusion are presented in this paper. According to the strategy selection of the selfish nodes and the dynamic evolution of precision, the incentive mechanism is introduced. We propose and prove the theorems of evolutionarily stable strategy under different parameters. We verify the effects of the incentive mechanism and that the model can optimize the number of nodes in the process of data fusion, reduce the loss caused by the collision of data, and improve the precision of data fusion by simulation.