Research On Frequency Hopping Communication Strategy Of WSNs Based On The Game

Wireless sensor network (Wireless Sensor Network, WSN) is a multi-hop self-organizing network, which combines wireless network technology, embedded technology, distributed technology. Due to the nodes in wireless sensor networks is limited energy-, calculation slow、limited storage space, wireless sensor networks have very limited capacity to deal with cyber attacks. When wireless sensor networks under network attacks, wireless nodes need to rebuild routing, consume energy rapidly, and wireless sensor network need to restructure, resulting in the entire wireless sensor network cannot operate normally. Frequency hopping technology as a branch of spread spectrum technology can enhance the anti-jamming of wireless sensor networks, protect networks against attack and ensure the security of wireless sensor networks. However, if wireless sensor networks under any degree of network attacks, it is clearly unreasonable to use frequency hopping technology. And game theory can effectively solve the problem of selection timing of frequency hopping opportunity is reasonable or not. Therefore, how to combine frequency hopping technology and game theory together applied to wireless sensor network security possess a very important research value and practical significance.Through the introduction communication security awareness technology. This topic make game theory applied to the wireless sensor network hopping communication and then build Frequency Hopping Game Model Based on Situation Awareness for Wireless Sensor Networks. The nodes of wireless sensor network are divided into two parts in this model:frequency hopping and non-hopping. And then this topic gives formal definition and quantitative description of the impact factor in the game model, builds frequency hopping and non-hopping utility function, and establishes a static Bayesian equilibrium game tree.Simulation experiments results show that the Frequency Hopping Game Model Based on Situation Awareness for Wireless Sensor Networks obviously protect networks against attacks or avoid interference, make the wireless sensor network node selection timing of frequency hopping more rational. The model effectively guarantees wireless sensor networks running normally, protects the security of the overall wireless networks, and extends the life of the wireless sensor networks.