Research On Key Technology Of Topology Control Of Ground Unmanned Cluster

With the rapid development of ground unmanned system,the ground unmanned system networks become more and more impendency.The unmanned system performs as clusters and adopts wireless network in each cluster for the complex task,such as disaster emergency rescue and border patrol monitoring scenarios.Since external environments of terrains and obstacles have disadvantage for the network structure and ground unmanned cluster has characteristic of autonomy,the topology structure of wireless network changes accordingly and leads to communication island problems.Thus,the unmanned cluster loses the capability of communication.Therefore,in order to meet the unstable application scenarios,it is necessary to use the self-organizing network for establishing and maintaining the dynamic network,which can enhance the robustness of network structure and keep the communication smoothly.To ensure the quality of self-organization network,it is necessary to learn the topology control technology,which includes node deployment,node power control,and cluster choice.Under this background,this work focuses on the technology of dynamic routing method by introducing graph theory.Specifically,to address the confusion in group communication,it proposes a method of boundary communication for the groups of unmanned cluster.To recover the communications for groups,it designs a method of cooperative communication for groups.The main researches of this work are as follows:(1)This work analyzes the dynamic topology of ground unmanned cluster network,and the network characteristics are abstracted as the mathematical expression by using graph theory.Each unit of the cluster is represented as a node and each communication link is represented as an edge.Thus,the topology structure of ground unmanned cluster is formed by extracting the features in graph network.(2)This work proposes a topology control strategy for boundary communication.Specifically,first,it builds a boundary communication model by incorporating the relevant assumption and task environment.Second,it designs an optimization algorithm of network flow by capacity network which is built by matching strategy.Then,the optimum matching strategy is derived by marked cost network and capacity network.Finally,To address confusion in group communication,the links of matching strategy are mapped to the links of network.The experiments verify the reasonableness of the designed topology control strategy.(3)This work proposes a topology control strategy for cooperative communication.Specifically,first,it builds cooperative communication model by introducing a cooperative node.Second,it designs an outage probability channel model and a packet reception rate channel model by using cooperative communication model.Third,it proposes a multi-objective cooperative communication node deployment algorithm by using normal distribution crossover operator,differential mutation operator,and adaptively elitism preserving strategy to improve the quality of optimization performance.Then,the best deployment location of communication node is captured by applying the best relay strategy.Finally,the best deployment location of communication node replaces the location of cooperative communication node and cooperative communication node starts relay forward,which has ability to recover the communications for groups.The experiments verify the effectiveness of the designed best relay strategy.In summary,this work proposes a boundary communication method with an optimization algorithm of network flow and a cooperative communication method with a multi-objective cooperative communication node deployment algorithm for addressing the communication problems between groups in dynamic routing,which shows favorable technology and application value in the ground unmanned cluster.