Research On Intelligent Monitoring System Configuration Method Of Multi Sensors

In today's high-tech information battlefield,the multi-sensor surveillance system has been a key research topic in many countries for the purpose of identifying,tracking and processing various types of signals generated by a target that appears in a specific battlefield.In the multi-sensor surveillance system,the system structure design needs to adopt distributed sub-network forms,and the individual nodes in each sub-network are multi-sensor entities.However,due to the communication capability of a single sensor node and its own resources,the nodes Must work together to accomplish the global task.Therefore,the assignment of collaborative tasks in the multi-sensor surveillance system network becomes one of the key problems that need to be solved.Based on the study of multi-agent theory and the analysis of multi-sensor networks,this paper studies the problem of task coordination and allocation in multi-sensor networks.First of all,three multi-sensor network task coordination techniques based on multi-agent theory are introduced.Second,through analyzing and comparing these three methods in depth,a task coordination mechanism is proposed to improve the dynamic alliance.Finally,the specific process of this task coordination mechanism is given.Through the research of cooperative assignment algorithm of multi-sensor network based on dynamic alliance,the hybrid algorithm of genetic algorithm and simulated annealing algorithm is applied in the dynamic alliance mechanism.Firstly,the nodes in the multi-sensor network are graded by the algorithm of grading,and the members of the initial coalition are selected from the high-level nodes.Then,the energy consumption,running time and power-saving load balance are combined into the cost of multi-objective optimization Function,using genetic annealing algorithm to find the optimal solution of multi-objective optimization task distribution algorithm;By comparing and analyzing the results of MATLAB simulation,we conclude that thegenetic annealing algorithm in energy loss,running time,node load balancing Better optimization.In the end of the paper,the communication protocols in multisensor networks are studied in depth.After analyzing the specific contents of each layer in the communication system,the implementation of the spread spectrum technology is mainly focused on the physical layer.The data link layer focuses on the MAC The classification of protocols and the main mechanism of S-MAC protocol.The network layer focuses on the classical algorithm of planar routing and hierarchical routing structure.Based on the in-depth study of theoretical knowledge,the key technologies and algorithms in each layer are modeled and simulated.The simulation is carried out in the way of MATLAB7.0 and Visual C ++ 6.0,and the results are analyzed.The results show that these algorithms Features and effects.