Multi-node cooperation unmanned aerial vehicle ad hoc network clustering topology reconstruction method

Abstract

The invention discloses a multi-node cooperation unmanned aerial vehicle ad hoc network clustering topology reconstruction method. According to the method, firstly, a minimum node ID method is adopted to carry out quick clustering, the weight of each unmanned aerial vehicle node is calculated according to factors such as the speed similarity of nodes in a moving unmanned aerial vehicle ad hoc network, the average distance between the nodes, the average link maintenance time and the unmanned aerial vehicle node residual energy, and cluster maintenance is carried out. Then, on this basis, a method for judging key nodes in a network based on an adjacent matrix in a neighborhood is provided, and whether key nodes in the network fail or not is judged in a distributed mode. Finally, on the basis of the clustering algorithm and the key node judgment method, a two-stage topology repair method is provided for solving the problem that topology damage occurs when the network is attacked by an enemy. A simulation result in a wireless network simulation environment EXata shows that compared with a traditional clustering algorithm, the method can quickly and effectively repair the damaged network topology and improve the throughput of the network.

Description

technical field [0001] The invention belongs to the field of wireless networks, and in particular relates to a clustering topology reconstruction method of multi-node cooperative unmanned aerial vehicle ad hoc network. Background technique [0002] UAV self-organizing network has the advantages of distributed, self-organizing, multi-service and long-distance, and is widely used in military and civilian fields. In the actual application process, the characteristics of highly dynamic topology changes and complex and harsh battlefield environments pose a serious threat to the communication quality of UAV Ad Hoc Networks. The method of using idle or redundant nodes in the network for cooperative transmission can effectively improve the communication performance of the network. This method is called node cooperation strategy. The traditional clustering algorithm solves the scalability problem of the UAV Ad Hoc Network to a certain extent. However, in the actual battlefield envir...

AI Technical Summary

Problems solved by technology

The traditional clustering algorithm solves the scale scalability problem of the UAV Ad Hoc Network to a certain extent. Vulnerable to enemy fire attacks, these pose new challenges to the topology reconstruction of clustered networks

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