Research On Anti-WIFI Interference In Wireless Sensor Networks

With the rapid development of network technology today,wireless sensor network(WSN)has been widely used in daily life,and has important influence in many fields,such as military,transportation,medical treatment,environment,agriculture and so on.Wireless sensor network is mainly used ZigBee communication protocol,working in the ISM band 2.4GHz.In recent years,the wireless LAN(WiFi)is also developing rapidly,indoor and outdoor has been basically covered by the WiFi signal,WiFi also work in the 2.4GHz band.Therefore,when the WSN network and WIFI network are deployed in the same environment,the same frequency interference will occur.Moreover,because of the different physical layer technology in the two networks,the power of WSN is less 1?2 orders of magnitude than that of WiFi,and the research shows that the overlap between WSN and WIFI networks is ubiquitous in the environment.So when the two network channels overlap,WiFi communication will have a greater interference to WSN communication.Therefore,the wireless sensor network of Anti-WIFI Interference based on ZigBee protocol is an urgent problem to be solved.Based on the research of some scholars,this paper proposes a WiFi interference detection mechanism based on ZigBee in wireless sensor networks and a new multi channel assignment algorithm for distributed autonomous learning.(1)The mechanism of WiFi interference detection in wireless sensor networks based on ZigBee is proposed.This mechanism obtained the important performance parameters of wireless sensor network based on ZigBee in wireless WiFi under the interference through experimental observation and data analysis,the important parameters are modeled by the logistics classification and recognition mechanism.And according to the experimental results,the parameters are obtained.The experimental results show that the model has a high success rate in the presence of interference between the ZigBee-based wireless sensor network and the wireless WiFi network.(2)An anti-interference channel allocation technique based on machine learning is proposed.The current research on anti-jamming technology is mainly concentrated in the frequency hopping mode,since the interference of the WiFi interference source to the ZigBee is more serious in the overlapping area,it is not necessary to scan the entire frequency band when searching for the channel,search only in the vicinity of the original channel.This paper adopts the deep learning algorithm to allocate the channel for nodes,and NS2 is used to simulate the wireless sensor networks,the simulation results show that this method can effectively improve the efficiency of channel allocation and improve the performance of wireless sensor networks.