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
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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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