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Method and device for routing decision-making of aircraft ad hoc network based on fuzzy neural network

A technology of fuzzy neural network and aircraft, applied in the field of space network, to achieve the effect of improving reliability and effectiveness

Active Publication Date: 2022-05-27
SHANGHAI SPACEFLIGHT INST OF TT&C & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a fuzzy neural network-based aircraft ad hoc network routing decision-making method and device to solve the technical problem of efficient transmission of existing aircraft services in space networks

Method used

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  • Method and device for routing decision-making of aircraft ad hoc network based on fuzzy neural network
  • Method and device for routing decision-making of aircraft ad hoc network based on fuzzy neural network
  • Method and device for routing decision-making of aircraft ad hoc network based on fuzzy neural network

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Embodiment 1

[0030] Please refer to Figure 1-Figure 2 , which is an overall block diagram of an ad hoc network routing decision method for aircraft based on a fuzzy neural network according to an embodiment of the present invention, which is suitable for on-orbit aircraft such as artificial satellites, space stations, and spacecraft. First, the first-level fuzzy neural network FNN1 outputs the link state change rate σ∈[0,1] according to the relative distance L and the relative movement speed Δv between the aircraft, which is used to evaluate the link stability; then, according to the storage of the aircraft Capacity S, propagation delay T, link state change rate σ, the second-level fuzzy neural network FNN2 outputs the success probability of the single-hop link transmission service between aircraft Γ∈[0,1], the single-hop link transmission service between aircraft The success probability Γ reflects the possibility of selecting the link; finally, a virtual network topology map is construct...

Embodiment 2

[0075] Please refer to Image 6 , the invention also discloses an aircraft ad hoc network routing decision-making device based on the fuzzy neural network, including:

[0076] The normalization preprocessing unit 1 performs normalization preprocessing on the relative distance L between the aircraft, the relative speed Δv and the storage capacity S of the aircraft, and sends the normalized and preprocessed data to the first-level fuzzy neural network network unit 2;

[0077] The first-level fuzzy neural network unit 2, according to the normalized preprocessed relative velocity Δv and relative distance L, processes and outputs the aircraft link state change rate σ∈[0,1], and converts the aircraft link state change rate σ Send to the second-level fuzzy neural network unit 3;

[0078] The second-level fuzzy neural network unit 3, according to the aircraft link state change rate σ∈[0,1], the propagation delay T and the storage capacity S, processes and outputs the success probabi...

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Abstract

The invention discloses an aircraft ad hoc network routing decision-making method and device based on a fuzzy neural network. The method includes: performing normalized preprocessing on the relative distance and relative speed between the aircraft and the storage capacity of the aircraft; After processing the relative distance and relative speed, the first-level fuzzy neural network outputs the aircraft link state change rate; according to the aircraft link state change rate, propagation delay and storage capacity, the second-level fuzzy neural network outputs the single-hop distance between aircraft The success probability of the link transmission business; with the success probability of the single-hop link transmission business as a side, construct a virtual network topology map; based on the virtual network topology map, with the goal of maximizing the multi-hop transmission success probability, determine the most Optimal routing planning. The invention provides routing planning that maximizes the probability of successful service transmission, improves the reliability and effectiveness of network data transmission, and realizes efficient transmission of aircraft services in the space network.

Description

technical field [0001] The invention relates to the field of space networks, in particular to an aircraft ad hoc network routing decision method and device based on a fuzzy neural network. Background technique [0002] In recent years, with the advancement of major tasks such as the landing of my country's Chang'e-4 on the back of the moon, the first lunar sampling return of Chang'e-5, the soft landing and patrol detection on the surface of Mars, and the long-term operation and management of the space station in orbit, my country's space activities are moving from near to near. Earth space is gradually expanding to high orbit and even outer space. This kind of activity is often not an independent space activity, and it is necessary to develop an intelligent network system to realize efficient data interaction and information sharing between aircraft. On-orbit vehicle system collaborative communication has always been the focus and difficulty of international space agencies. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 章跃跃石云墀武文权程庆林王彦革谢晔高磊
Owner SHANGHAI SPACEFLIGHT INST OF TT&C & TELECOMM