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Unmanned aerial vehicle ad hoc network DSR protocol implementation method based on decision tree algorithm

A protocol implementation and decision tree technology, applied in computer parts, computing, network topology, etc., can solve the problems of not considering the stability of transmission links and reducing the service reception rate, so as to improve the efficiency of routing requests and improve the service reception rate. , the effect of reducing end-to-end delay

Inactive Publication Date: 2020-10-16
GUILIN UNIV OF ELECTRONIC TECH
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  • Claims
  • Application Information

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Problems solved by technology

However, because the stability of the transmission link is not considered, the service reception rate is reduced

Method used

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  • Unmanned aerial vehicle ad hoc network DSR protocol implementation method based on decision tree algorithm
  • Unmanned aerial vehicle ad hoc network DSR protocol implementation method based on decision tree algorithm
  • Unmanned aerial vehicle ad hoc network DSR protocol implementation method based on decision tree algorithm

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Embodiment Construction

[0022] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0023] see figure 1 , the present invention provides a kind of UAV ad hoc network DSR protocol implementation method based on decision tree algorithm, comprising:

[0024] S101. Divide the attribute levels of the UAV node data set, and obtain corresponding decision results.

[0025] Specifically, the division of node attribute levels is shown in Table 1:

[0026] Table 1 Classification of node attributes

[0027] Attributes high middle Low congestion factor c c>0.66 0.33<c≤0.66 c≤0.33 speed factor ...

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Abstract

The invention discloses an unmanned aerial vehicle ad hoc network DSR protocol implementation method based on a decision tree algorithm. According to the attribute levels and decision results of the divided unmanned aerial vehicle node data sets, a decision tree is constructed by utilizing an ID3 algorithm, the divided node attribute factors are dynamically calculated and updated, a routing request sent by a source node is received by utilizing an intermediate node, the decision tree algorithm is correspondingly executed according to a decision result until a routing request process is finished, and a routing reply is sent. According to the method, based on each attribute factor size of the unmanned aerial vehicle node, whether to receive and discard the routing request or not is comprehensively decided, the routing request efficiency of the DSR protocol is improved, stable nodes are comprehensively selected to form a reliable communication link, the method is better applied to an ad hoc network of an unmanned aerial vehicle scene, and the improved DSR protocol reduces the routing overhead, reduces the end-to-end time delay and improves the service receiving rate of the network.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicle ad hoc network, in particular to a method for realizing the DSR protocol of the unmanned aerial vehicle ad hoc network based on a decision tree algorithm. Background technique [0002] The Flying Ad Hoc Network (FANET) uses flying UAVs as the carrier and does not rely on fixed infrastructure. The transmission and sharing of information between UAV nodes is realized through a specific routing protocol. The network supports dynamic network entry and exit of nodes, and the UAV self-organizing network needs to achieve the goal of fast networking and communication in complex environments. Compared with the traditional terrestrial ad hoc network, the UAV ad hoc network is subject to many limitations in terms of node load and energy. In an environment where node stability and network topology are difficult to determine, the communication quality of the network is often difficult to guaran...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/04H04W40/14H04L12/721H04L12/753G06K9/62H04W84/18
CPCH04W40/04H04W40/14H04L45/48H04L45/34H04W84/18G06F18/24323
Inventor 刘庆华黄声培叶金才康一鸣肖菁颖何垣鑫周辰朱彩球乔睿萌
Owner GUILIN UNIV OF ELECTRONIC TECH
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