Research On Intelligent Access Algorithms Of Distributed Wireless Networks

With the vigorous development of the Internet of Things(IoT)service,the communication of the IoT terminal has become particularly important,and wireless communication technology plays a very important role in the process of solving the problems in the IoT.Distributed wireless network has the characteristics of flexible deployment,high efficiency,and good robustness,so it has received more and more attention from researchers.However,with the endless emergence of IoT terminals,how to efficiently and intelligently connect large-scale terminals to the network has become an urgent problem to be solved.Therefore,this thesis will conduct an in-depth study on the competitive access of large-scale terminals in distributed wireless networks.The main research results and contributions of this thesis are as follows:(1)Bio-inspired distributed wireless network self-organizing access algorithmAiming at the high collision rate of multiple nodes competing for access to a single channel in distributed wireless networks,a bio-inspired self-organizing access algorithm is proposed.The algorithm is inspired by the ant colony consensus initiative(Stigmergy)and the alternate calling behavior of the frog colony in a short time.In this algorithm,the state of the node is regarded as the phase value.All nodes realize the synchronous update of information through phase resonance.The node changes its state according to different behaviors.When the state of the node reaches a certain threshold,the node can access the channel to transmit data packets.From the initiation of the access request to the completion of the access,each node acts independently,assists and modifies each other to complete the update of its own state,and all nodes implement single-channel access with a set "rule".Finally,the collision rate,throughput and delay of the network are analyzed and calculated.Simulation results show that the proposed self-organizing access algorithm can effectively reduce the occurrence of access collisions in the distributed wireless network scenario and improve the performance of the network.(2)Distributed wireless network Intelligent access algorithm based on the mean field gameAiming at the problem of poor energy efficiency of multi-node competition access to multi-channel in distributed wireless networks,an intelligent access algorithm based on the mean field game is proposed.The algorithm describes the competitive access between nodes as a game process,and a stochastic differential game model is established.While meeting the requirements of channel access,it aims to maximize the energy efficiency of nodes and obtain the optimal behavior strategy.However,as the number of nodes increases the dimension of the matrix used to characterize the interaction between nodes is too large,so the solution is more difficult.Therefore,by introducing the mean field theory and transforming the stochastic differential game into a mean field game,the interaction between nodes can be approximately transformed into the interaction between nodes and the mean field,which not only reduces the complexity,but also reduces the computational overhead.In addition,the HJB-FPK equation is solved iteratively to obtain the Nash equilibrium of the mean filed game.Finally,a backoff strategy based on the Markov model is proposed,and the node obtains the corresponding backoff strategy according to the network situation and its own state.The simulation results show that the algorithm is effective for optimizing the competing access of multiple nodes.(3)Distributed wireless network access management platformThis thesis uses Django and React framework to design and build a distributed wireless network access management platform,and apply it to the actual IoT system.The platform is divided into frontend development and back-end development.The front-end is responsible for displaying the visual interface.The main functional modules include network topology dynamic display module,data display module,network status display module,etc.The back-end is responsible for processing the data uploaded by the sensor terminal.After testing in the actual network environment,all functions of the platform are working normally,the access algorithm in the system is running normally,and the expected result is achieved.It also shows that the platform can not only enhance the visibility of the distributed wireless network,but also Improve the convenience of network operation and maintenance.