A Cooperative Secure 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 reduced communication range, high communication performance, and improve network communication performance Effect

Active Publication Date: 2018-10-19
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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  • A Cooperative Secure Communication Method in Multi-UAV Environment
  • A Cooperative Secure Communication Method in Multi-UAV Environment

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Such as figure 1 and 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 nod...

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Abstract

The purpose of the present invention is to provide a collaborative and secure communication method in a multi-UAV environment that can reduce the communication range of multi-UAVs, has high computing speed and high communication performance. The classic artificial fish swarm algorithm is easy to fall into local optimum, and the late convergence speed is slow. The traditional OLSR protocol cannot predict the movement trend of nodes in the network, and it is difficult to adapt to the rapid movement of nodes in the UAV network. The invention combines the artificial fish swarm algorithm with the UAV dynamics model, adjusts the step size and field of view to be self-adaptive, and introduces virtual ocean currents at the same time to solve the problems existing in the actual application of the algorithm, and uses the motion information in the UAV network as MPR The parameters for node selection are introduced into the MPLSR protocol.

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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Patent Type & Authority Patents(China)
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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