A UAV swarm topology control method based on location trajectory prediction
A trajectory prediction and topology control technology, applied in network topology, wireless communication, advanced technology, etc., can solve the problem that the overall performance improvement of cluster network invulnerability has not played a greater role in promoting, and the distance between drones and structures cannot be achieved. control, reduce the continuity and reliability of UAV cluster control, and achieve the effect of network comprehensive performance optimization, high robustness, and topology stability
Active Publication Date: 2021-09-28
四川腾盾科技有限公司
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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 room for optimization and improvement in the existing UAV swarm control 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 needs of rapid response to 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
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[0049] In view of the problems of high power consumption and large communication delay in the UAV swarm communication topology network in the prior art, this embodiment optimizes the UAV swarm communication control method, which can solve the problems in the prior art and improve the efficiency of the UAV swarm. Communication efficiency, reduce power consumption, and extend the time for UAV swarm topology to remain stable.
[0050] Specifically, the technical solution disclosed in this embodiment is:
[0051] like figure 1 As shown, a UAV swarm topology control method based on location trajectory prediction, including:
[0052] S01: Obtain the current position of each node in the UAV cluster network to form an initial group communication topology network; and obtain the position track of each node at the next moment to form a group communication topology network at the next moment;
[0053] S02: Divide the UAV cluster communication topology network into several connected are...
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The present invention relates to the technical field of UAV cluster communication, and specifically relates to a UAV swarm topology control method based on position trajectory prediction. The present invention directly starts from the communication dimension of the cluster network, with low transmission power consumption and high robustness as the goal. Controlling the group topology can greatly optimize and improve the comprehensive performance of the entire network; UAV nodes can predict the location and trajectory of other nodes around them, and can obtain the group topology information at the next moment in advance. At the same time, through key node selection and The division of connected areas can maintain the optimized topology for a longer time and make the topology more stable; by sensing the group topology information at the next moment in advance, the UAV node can input the future change trend of the group topology to the control system to make it advance Formation configuration pre-control, thus linking communication and control.
Description
technical field [0001] The invention relates to the technical field of unmanned aerial vehicle cluster communication, in particular to a topology control method for unmanned aerial vehicle clusters based on position track prediction. Background technique [0002] The drone cluster networking system is a multi-node cluster communication network composed of multiple drones through a specific networking protocol (usually a distributed ad hoc network). Network nodes interact with each other through the cluster network under a specific cluster topology. messages to complete assigned tasks. [0003] The group topology change of the UAV cluster networking system has an important impact on the performance of the entire network, such as network connectivity, throughput, data forwarding success rate, transmission delay, etc. Traditional UAV swarm topology control is from the perspective of UAV cluster formation configuration control (such as formation consistency control, etc.), from...
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IPC IPC(8): H04W40/18H04W40/20H04W40/30H04W52/46H04L12/753H04W84/06
CPCH04L45/48H04W40/18H04W40/20H04W40/30H04W52/46H04W84/06Y02D30/50Y02D30/70
Inventor 周睿席在杰曾勇赵政宁秦萌余炎
Owner 四川腾盾科技有限公司