The Frequency-hopping Game Model Based On Awareness For WSN

With the rapid development of wireless sensor technology, WSN applications exists in all aspects of our lives, wireless sensor network security issues become increasingly serious. Frequency Hopping is a good method to solve the problem of wireless network security. Now, the Frequency Hopping technology has been widely used in wireless sensor networks. Accurate and comprehensive channel evaluation is important for frequency hopping. At the same time, it can’t be ignored that guaranteeing the channel is the optimal channel after hopping. So the channel evaluation and optimal channel selection have become the important problems for hopping technology. This paper presents a channel evaluation method that is about feedback mechanism, and combining with game theory the paper comes up with the optimal channel selection model which is based on channel evaluation and channel prediction to make the hopping model more perfect and intelligent.The channel evaluation method is got by evaluating the SNR, packet loss rate, packet transmission delay and feedback mechanism; An accurate channel evaluation method is good for the optimal channel selection mechanism, which is based on channel evaluation and channel prediction.The hopping model is verified by simulation and analysis of simulation results. The model can make a reasonable channel evaluation when the channel is disturbed or subjected to malicious attacks and make a correct selection about whether frequency hopping or not. The model also can choose the best channel for frequency hopping to avoid the disturbed channel and ensure normal network traffic.