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Cooperative safety communication method in multi-UAV environment

A secure communication and multi-UAV technology, which is applied in the field of collaborative secure communication in a multi-UAV environment, can solve problems such as the inability to predict topology changes, achieve the goals of reducing the communication range, fast computing speed, and improving network communication performance Effect

Active Publication Date: 2015-09-02
SHENYANG AEROSPACE UNIVERSITY
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AI Technical Summary

Problems solved by technology

At the same time, in order to increase the reachability of the route, the wrong route compensation algorithm is used, but it cannot dynamically predict the topology change.

Method used

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  • Cooperative safety communication method in multi-UAV environment

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Experimental program
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Effect test

Embodiment 1

[0032] Such as figure 1 with figure 2 As shown, a collaborative security communication method in a multi-UAV environment includes the following steps:

[0033] Step 1: Establish a communication model, improve the artificial fish swarm algorithm IAFS, and reduce the communication range of the UAV;

[0034] Step 2: Using the MPLSR protocol, the UAV motion perception information is used as the measurement parameter for MPR selection, and the MPR search algorithm is improved.

[0035] The specific steps of step 1 are as follows:

[0036] Step 1.1: Set parameters: set the number of drones n, transmit power P t , the safety distance d, the UAV communication frequency bandwidth W, the maximum number of trials Trynumber, the maximum number of iterations Iter_times parameters;

[0037] Step 1.2: Initialize drones: Generate n drones that meet the safety distance in the area, save their respective positions in X, set the number of iterations to p_times=0, find the three outermost no...

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Abstract

The invention aims to provide a cooperative safety communication method in a multi-UAV (multi-Unmanned Aerial Vehicle) environment. The method can reduce multi-UAV communication range and is high in operation speed and high in communication performance. A classic artificial fish school algorithm has problem of proneness to partial optimum and low rear-stage convergence rate while a traditional OLSR protocol cannot be used for predicating movement trend of nodes in a network and is difficult to fit quick movement of nodes in the UAV network. According to the invention, the artificial fish school algorithm is combined with a UAV dynamics model, step length and view field are adjusted to be self-adaptive and virtual marine current is also introduced at the same time, so that the problems of the algorithm in practical application is solved. Movement information in the UAV network is introduced into a MPLSR protocol as parameters chosen by MPR nodes.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a method for collaborative and secure communication in a multi-unmanned aerial vehicle environment. Background technique [0002] The so-called secure communication strategy has nothing to do with the data encryption of the traditional understanding of the communication process. In a multi-UAV environment, the increase in the number of UAVs will lead to a weakening of the communication signal strength between UAVs. Therefore, in order to improve communication performance , it is necessary to increase the signal strength. However, while expanding the communication range of multiple UAVs, it will also lead to information leakage. The research on security communication issues is conducted from the aspects of UAV communication power, communication radius, and UAV dynamics. The main research is the same The UAVs of the communication power optimize the communication r...

Claims

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Application Information

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IPC IPC(8): H04W12/00H04W40/30H04W12/64
CPCH04W12/00H04W40/30
Inventor 吴杰宏石祥滨范纯龙李照奎张德园王景志曹玉琦刘羽硕
Owner SHENYANG AEROSPACE UNIVERSITY
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