Software-defined drone cluster network controller design method

A cluster network and software-defined technology, applied in the field of UAV network, can solve problems such as complex network management and control, low utilization rate of network resources, and difficulty in cooperative communication of UAVs, and achieve the effect of optimizing cluster network resources and reducing complexity

Inactive Publication Date: 2019-03-26
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] Although UAV swarm communication has great potential for development, there are still some key research issues that have not been resolved, such as low utilization of network resources, difficulty in cooperative communication between different UAVs, and complex network management and control.

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  • Software-defined drone cluster network controller design method
  • Software-defined drone cluster network controller design method
  • Software-defined drone cluster network controller design method

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Embodiment Construction

[0032] consider as figure 2 The software-defined UAV swarm network architecture shown consists of an air transmission network and a ground transmission network.

[0033] Step (1): Initialize, set the total number of UAV nodes in the UAV cluster network N=100, each node index is i∈[1,...,100], and set the UAV according to the executed tasks and regions The number of clusters M=10.

[0034] Step (2): Calculate the neighbor density and the shortest distance of each UAV node respectively.

[0035] For example, the neighbor density ρ of node i=1 1 =∑ j d 1j =1000km,d 1j is the actual distance between node 1 and node j in the network; the shortest distance of a node is defined as the shortest distance between node 1 and node j whose neighbor density is higher than 1, that is

[0036] Step (3): Arrange the distribution of UAV node set V in descending order according to ρ value and δ value to obtain set V 1 =[1500,1200,…,500] and V 2 =[100,85,…,10], and write down the corre...

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Abstract

The invention discloses a software-defined drone cluster network control method, comprising the following steps: firstly dividing the SDN control domain according to the mission requirement and coverage area of the UAV, sorting the nodes with the neighbor densities and the connection distance values respectively by calculating the neighbor density and connection distance of each node, adding the sort numbers to obtain a total sort number of the nodes, obtaining an area vertex set according to the total sort number value, dividing the network nodes into a plurality of SDN control domains according to the principle of shortest area vertex distance, then centrally controlling the cluster network at the ground control station and the SDN controller deployed in the SDN domain, and performing functions such as task monitoring, conflict management, relay management, data forwarding, and route calculation by the software-based controller, so that the deployment of the controller can be flexibly adaptive to the change of the network topology, which facilitates flexible management of local network devices, reduces UAV network device complexity and communication delay, and enables stable interconnection of UAV nodes.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicle networks, and relates to a method for improving the communication reliability of an unmanned aerial vehicle cluster network. Background technique [0002] In recent years, unmanned aerial vehicle (UAV) has been developed rapidly in military and civilian aspects due to its advantages of small size, strong mobility and low cost. Surveillance, emergency search and rescue, etc. However, a single UAV has disadvantages such as weak invulnerability and limited coverage. These factors lead to low communication reliability of a single UAV. These problems can be effectively solved by combining multiple UAVs into a cluster cooperative communication system, sharing network resources, cooperating with each other, and jointly completing corresponding communication tasks. [0003] Since the UAV swarm communication system includes multiple UAV platforms that cooperate with each other, when some UAVs in th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/40H04W16/18H04L12/24
CPCH04L41/145H04W16/18H04W4/40
Inventor 黎海涛
Owner BEIJING UNIV OF TECH
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