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Unmanned aerial vehicle swarm hierarchical consensus method based on block chain

A technology of drone swarms and drones, applied in the field of blockchain-based drone swarm hierarchical consensus, can solve problems such as not fully utilizing the advantages of blockchain mutual trust and consensus, message lag, and not participating in decision-making

Active Publication Date: 2020-10-20
UNIV OF SCI & TECH OF CHINA
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, in the current field where blockchain and drones are combined, blockchain technology only participates as an information collection platform, only provides credible information, does not participate in decision-making, and does not make full use of the mutual trust and Consensus advantage, and once the number of drone bee colonies increases, the consensus delay will be greatly extended, resulting in serious consequences such as message lag

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  • Unmanned aerial vehicle swarm hierarchical consensus method based on block chain
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  • Unmanned aerial vehicle swarm hierarchical consensus method based on block chain

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Embodiment Construction

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] Traditional UAVs perform large-scale and complex tasks in the form of networking, often adopting a centralized control method. When the control center node is attacked and destroyed, the bee colony will lose its ability to coordinate. At the same time, the resources of drone swarm nodes are limited, and it is difficult to deploy complex security defense function modules in nodes. However, swarm nodes are connected to each other through open c...

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Abstract

The invention discloses an unmanned aerial vehicle swarm hierarchical consensus method based on a block chain, and the unmanned aerial vehicle hierarchical structure with a built-in block chain enables an unmanned aerial vehicle swarm network to have higher expandability and robustness, can achieve the information sharing of unmanned aerial vehicle nodes in the whole network, and greatly improvesthe work efficiency of an unmanned aerial vehicle. The PBFT algorithm can help the unmanned aerial vehicles to achieve consensus more quickly while avoiding a large amount of computing power competition, data consistency is guaranteed, and networking safety performance is improved.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicle bee colony technology and block chain technology, in particular to a layered consensus method for unmanned aerial vehicle bee colony based on block chain. Background technique [0002] The UAV swarm is composed of a large number of single-function and multi-function UAVs. Under the support of the sympathetic network, the emergence of swarm intelligence is the core, and the network system is built based on the comprehensive integration of the open architecture. UAV swarms are in their infancy. Some foreign institutions have set up a number of key projects related to UAV swarms, covering various key technologies of UAV swarms from concept to substantive verification, involving from Unmanned aerial vehicles of various levels from large to micro have achieved many breakthrough results, and are steadily moving towards the direction of substantive verification. [0003] UAV swarm network communic...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/40H04W4/70H04W12/00H04W16/18H04W40/02H04W40/32H04W84/18G06F16/27
CPCG06F16/27H04W16/18H04W40/02H04W40/32H04W84/18H04W4/40H04W4/70H04W12/009
Inventor 姜晓枫陈思洋曹琬廑陈双武何华森杨坚
Owner UNIV OF SCI & TECH OF CHINA
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