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Unmanned aerial vehicle ad hoc network route selection method and system adopting gray Markov model

A Markov model and unmanned aerial vehicle technology, applied in the field of network communication, can solve the problems that cannot meet the application requirements of unmanned aerial vehicle self-organizing network, and achieve the effect of increasing the success rate and accuracy

Active Publication Date: 2020-01-14
NANCHANG HANGKONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Based on this, the purpose of the present invention is to solve the problem that the traditional routing protocol cannot meet the application requirements of the UAV Ad Hoc Network

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  • Unmanned aerial vehicle ad hoc network route selection method and system adopting gray Markov model
  • Unmanned aerial vehicle ad hoc network route selection method and system adopting gray Markov model
  • Unmanned aerial vehicle ad hoc network route selection method and system adopting gray Markov model

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Embodiment Construction

[0063] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the associated drawings. A preferred embodiment of the invention is shown in the drawings. However, the present invention can be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the disclosure of the present invention will be thorough and complete.

[0064] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0065] In the...

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Abstract

The invention relates to an unmanned aerial vehicle ad hoc network route selection method and system adopting a gray Markov model. The method comprises: acquiring node position information corresponding to each unmanned aerial vehicle node; constructing a gray Markov model, and predicting and obtaining a node position prediction value; calculating and obtaining the link retention time, the motionsimilarity and the link quality according to the node position prediction value; and through an information gain method, carrying out importance ranking on the link retention time, the motion similarity and the link quality, calculating and obtaining forwarding weights of all neighbor nodes corresponding to the current sending node, and taking the node with the maximum forwarding weight as a nexthop node. The unmanned aerial vehicle ad hoc network route selection method adopting the gray Markov model can meet the communication network requirements of unmanned aerial vehicle cluster battle, and has wide application prospect.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a routing selection method and system for an ad hoc network of unmanned aerial vehicles using a gray Markov model. Background technique [0002] In recent years, unmanned aerial vehicles (UAVs) have received extensive attention in military and civilian fields due to their advantages such as diverse uses, strong flexibility, convenient assembly, and low cost. In addition, with the rapid development of science and technology, UAVs have developed from simple mission execution (intelligence, surveillance, and reconnaissance missions) to complex missions, and their mission execution methods have also begun to change from single platform to multi-UAV. The direction of collaborative execution of tasks. [0003] Compared with the traditional wired network, the nodes in the mobile ad hoc network move faster and the network topology changes frequently. As a kind of mobile a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/02H04W40/20H04W40/18H04W40/12H04W40/22H04W84/18H04B7/185
CPCH04B7/18504H04B7/18506H04W40/02H04W40/026H04W40/12H04W40/18H04W40/20H04W40/22H04W84/18
Inventor 胡欢锋舒坚刘琳岚
Owner NANCHANG HANGKONG UNIVERSITY