Research On Channel Allocation Method Of Wireless Mesh Network Based On Interference Perception

Wireless Mesh Network(WMN)is one new type of wireless Mesh network that has gradually matured in recent years.With good self-organizing performance and excellent performance in scalability,networking speed and other aspects,WMN is regarded as an important component of the next generation wireless network.With the development and progress of network information technology,the development of related application scenarios of WMN has continued to expand.Among them,the research on using it as a post-disaster emergency network infrastructure is currently a research hotspot in the world.The channel allocation algorithm determines the network performance of WMN.To build a post-disaster emergency network with WMN,it is necessary to propose an appropriate channel allocation plan.The main research contents of this thesis are as follows:Aiming at the complex network environment in WMN,it is impossible to quickly and accurately abstract and quantify network interference.This thesis constructs a new network model to determine the location of network nodes and wireless network connections to complete the interference perception process.Through the wireless network link connection and the traversal of the channel allocation results in the network,combined with the channel correlation coefficient,the global network interference in the multi-channel network environment can be accurately quantified.At the same time,considering the convergence characteristics of link traffic in a largescale multi-channel network environment,the priority of wireless network links in the channel allocation process is differentiated by defining link weights to ensure network workload balance.The interference sensing process based on this network model can more quickly determine the algorithm optimization goal.Aiming at the problem that the channel allocation algorithm of WMN under the emergency network environment needs to ensure the convergence speed of the algorithm and the validity of the channel allocation plan at the same time,a channel allocation algorithm is proposed.The algorithm uses the algorithm optimization target determined based on the interference sensing process as the fitness function,and evaluates the channel allocation plan obtained in each iteration.In each iteration process based on the particle swarm algorithm design,the asynchronous learning factor is introduced to adjust the influence coefficient of the particle speed,which optimizes the performance of the algorithm in the face of a complex network environment.The particle's three-speed learning ensures the rapid convergence of the algorithm.After each iteration update,design a random disturbance process based on the simulated annealing algorithm,which can effectively correct the problems caused by rapid convergence,avoid the algorithm from converging too quickly into a local optimum,thereby ensuring the validity and reliability of the experimental results.Experimental results show that this algorithm can effectively improve the optimization speed and ensure the effective and reliable channel allocation scheme.