Research On Distributed Channel Allocation Technology Of MRMC Ad Hoc Networks

With the development of wireless communication technology,people are pursuing efficient and flexible communication methods to utilize limited channel resources.The wireless ad hoc network technology is a popular research direction in wireless communication at present by virtue of its self-organization,self-healing,and strong anti-destroy characteristics.Although the multi-radio and multi-channel technology effectively improves the network throughput,it also complicates the channel allocation problem.How to reasonably allocate channels for each node in the network to reduce interference between networks is the key point of the channel allocation technology research designed.The subject researches the distributed channel allocation technology in the multi-radio and multi-channel ad hoc network.The distribution mentioned is distributed in a broad sense.It not only includes the channel allocation technology without a central node and does not need to obtain the global information of the network,but also Including channel allocation technology suitable for distributed computing using populations.This article first introduces and analyzes the characteristics of multi-radio and multi-channel wireless ad hoc networks,and compares and analyzes existing channel allocation algorithms,laying the theoretical foundation for subsequent algorithm research and design.Targeted channel allocation algorithms are proposed for homogeneous and heterogeneous networks.The specific work and innovations of this paper include:For multi-radio and multi-channel ad hoc networks,a corresponding Binary Particle Swarm Optimization based Throughput-Maximized(BPSOTM)channel allocation algorithm is proposed.In the BPSOTM algorithm,by designing targeted fitness functions and channel fusion methods,nodes can reasonably use channel resources in the network,effectively reducing network interference while ensuring connectivity,thereby improving network throughput performance.The algorithm also improves the speed iteration of the particles to optimize the optimization process of the population.Use Matlab to simulate the BPSOTM algorithm.The simulation results show that BPSOTM can make full use of resources to reduce the interference of nodes in the network.Compared with other channel allocation algorithms,BPSOTM has a performance improvement of more than 10%in terms of node throughput.For heterogeneous multi-interface and multi-channel ad hoc networks,a corresponding joint heterogeneous network and interference-aware game based channel allocation(JHIGBCA)algorithm is proposed.In the JHIGBCA algorithm,the game theory NE solution is a prerequisite to ensure the stability of the channel allocation scheme,and it satisfies the"selfishness" of the node.The algorithm designs the utility function of the game in a targeted manner,so that the node can make rational use of channel resources on the basis of the heterogeneity of channel bandwidth when selecting the channel.After the channel is allocated,the transmission rate of the node is significantly increased,thereby effectively improving the throughput performance of the network.Use Matlab to simulate the JHIGBCA algorithm.The simulation results show that the JHIGBCA algorithm can reasonably use the channel resources in the network on the basis of fully considering the heterogeneity of channel bandwidth,thereby increasing the node transmission rate as much as possible.Compared with other comparison algorithms,the JHIGBCA algorithm has more than 15%of the node throughput performance improvement.