Resilient Consensus Algorithm For Multi-Agent Network Based On WiFi Signal

With the advent of the information age,big data has been applied in all aspects of life.In the past decade,with the in-depth study of multi-agent system theory and coordination technology,many distributed optimization algorithms have been realized with the help of multi-agent network.The distributed optimization algorithm combines a large number of simple agents through the communication network,makes use of the mutual cooperation among agents,and efficiently processes the optimization task in coordination.In the multi-agent network,because the network is in the dynamic environment,it is easy to suffer from malicious attacks,resulting in no consensus among agents.For example,in the wireless sensor network,spoofed nodes can be generated by destroying the normal communication of the wireless sensor network or stealing the internal information of the network by using attack methods,thus interfering with the communication between normal nodes and affecting the convergence state of the entire network system.The thesis conducts an in-depth analysis of this issue,and uses WiFi signals to study the elastic consensus of multi-agent networks with malicious attacks.1.Firstly,it is assumed that there are spoofed nodes in the first-order multi-agent switched network.When the network is under malicious attack,spoofed nodes will have a disproportionate impact on the convergence state of the whole network.In order to solve this problem,based on the WiFi signal,this paper puts forward the resilient consensus of first-order multi-agent algorithm in a switch network,analyzes the deception node number for the influence of network convergence status value,switched network is proved and the theory of the the resilient of the agents state consistency,based on the simulation examples are compared under different parameters,the effectiveness of the proposed algorithm.2.Secondly,assuming that there are spoofed nodes in second-order discrete time multi-agent networks,the elastic consistency of WiFi signals in undirected networks is considered.To solve this problem,the signal channel of WiFi is measured,and the weight changing with time is set according to the experimental measurement value.On this basis,the sufficient conditions for achieving consensus are derived theoretically,and the parameter relationship between velocity and position is calculated.The effectiveness of the algorithm is verified by numerical simulation.Considering the wide application of WiFi signals in multi-agent networks,the resilient consensus of first-order switched multi-agent networks and second-order discrete time multi-agent networks is studied based on WiFi signals in the presence of spoofing nodes.Through the convergence analysis and simulation experiments,the convergence of the algorithm is proved.When there are spoofed nodes,the relationship between the convergence state of the network and the number of spoofed nodes,the network topology and the design of second-order network parameters is deduced theoretically.In practical application,the influence of malicious attacks on the network can be analyzed more accurately through WiFi channel,so as to guarantee the security of distributed network.Figure[31]table[0]reference[53]...