Topological optimization method for survivability unmanned aerial vehicle group based on position and double key nodes

Abstract

;The invention relates to the technical field of unmanned aerial vehicle cluster communication, in particular to an survivability unmanned aerial vehicle cluster topology optimization method based on positions and double key nodes, which optimizes cluster networking communication performance and aims at low power consumption, high robustness and strong survivability; the group topology is optimized by adopting a regional optimization and whole network comprehensive optimization mode, and meanwhile, on the basis of a conventional key node, the comprehensive performance of the whole network is improved by configuring an auxiliary key node and adopting a main and auxiliary backup mechanism; the unmanned aerial vehicle node obtains the group topology at the current moment and the next moment in real time by sensing and predicting the position tracks of other surrounding nodes, and the network survivability can be remarkably improved through double-key node configuration and an automatic switching algorithm, so that the whole network topology is more stable.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicle cluster communication, in particular to a topology optimization method for an unmanned unmanned aerial vehicle group based on location and dual key nodes. Background technique [0002] In the UAV swarm network, multiple UAV nodes adopt a group topology that matches the cluster task, and cooperate to execute the predetermined task. Swarm topology plays an important role in the success or failure of task execution. [0003] The UAV swarm topology directly affects the connectivity, transmission delay, robustness and other performance of the entire cluster network, thereby affecting the task execution results, especially in a strong denial environment, collaborative tasks have higher requirements for the cluster network invulnerability . The traditional UAV swarm topology optimization only starts from the aspect of aircraft control, controlling the distance and configuration between ...

AI Technical Summary

Problems solved by technology

However, the technical solution disclosed in this patent document is still unable to control the distance and configuration between drones, and has not played a greater role in improving the overall performance of cluster network invulnerability.

[0005] Therefore, there is still room for optimization and improvement in the existing UAV swarm communication methods. Not only is it difficult to control the structure of the overall swarm precisely and flexibly, but it is also difficult to meet the demand for invulnerability in special situations. At the same time, the current unmanned The high power consumption of machine cluster control reduces the control continuity and reliability of drone clusters

Images