Research On Anti-interference Methods In Wireless Sensor Network

With the rapid development of Internet and Internet of things,WiFi and wireless sensor network(WSN)have been widely used.The interference of data transmission in the WSN nodes will be different.The interference includes the environment noise,interference between nodes and interference of WiFi nodes with adjacent spectrum,because they are in the same 2.4G ISM frequency band.How to reduce or solve the interference of the nodes and improve communication reliability becomes an urgent problem to be solved.Therefore,there are many schemes aimed at reducing interference to improve communication reliability,among which the scheme based on channel allocation is of great concern.In the process of channel allocation,there are many indicators for measuring network communication.The traditional channel allocation schemes optimize the channel allocation of nodes on a given channel so as to realize the smaller interference of the nodes,thus improving the communication performance.Such optimization methods use a given channel,which is conservative,and the spectrum is not fully utilized;therefore,the channels can be reclassified to improve the spectrum utilization,thus improving the communication reliability.In some other communication environment,not one of the throughput,network capacity,transmission delay,energy consumption,network lifetime standards is to measure,but more goals satisfy some certain conditions,to increase the communication reliability.To solve above problems,this paper put forward the strategy of anti-interference based on non-orthogonal channel allocation and channel allocation scheme based on improved multi-objective optimization differential evolution algorithm,and then the simulation results of the proposed strategies verified their validity.The main works done in this thesis are as follows:1)In view of the problem of insufficient channel numbers in existing channel allocation schemes,a strategy of anti-interference based on non-orthogonal channel allocation was proposed.This strategy abandoned fixed channel allocation methods in WSN,and to increase the number of channels,thus improve the node throughput by adjusting the center of the channel frequency interval reasonable.2)In view of the problem that existing channel allocation schemes used a single target as the optimization criterion.Channel allocation scheme based on improved multi-objective optimization differential evolution algorithm was proposed.The two goals of network capacity and network lifetime were the optimization goals in multi-objective optimization,in order to meet the requirements of different communication environment.3)Through simulation experiments,the effectiveness of the strategy of anti-interference based on non-orthogonal channel allocation and channel allocation scheme based on improved multi-objective optimization differential evolution algorithm was verified.The proposed strategy of anti-interference based on non-orthogonal channel allocation and channel allocation scheme based on improved multi-objective optimization differential evolution algorithm in this paper were proved to effectively resist interference,improve the throughput,and according to different communication environment,they can provide multiple objective optimization of reference solution through the simulation experiments.