Satellite QoS routing algorithm based on improved ant colony optimization
An ant colony algorithm and satellite technology, which is applied in radio transmission systems, digital transmission systems, electrical components, etc., can solve problems such as high algorithm complexity, only consideration of delay attributes, and insufficient convergence of traditional ant colony algorithms to achieve improvement Convergence, the effect of improving the ability to find the optimal path
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[0057] This embodiment provides a satellite multi-constraint QoS routing algorithm based on the improved ant colony algorithm, adopts the LEO satellite network model, and its constellation orbit parameters are as follows:
[0058] The orbital parameters of the LEO layer are: orbital height 780km, number of orbital planes 6, number of satellites in orbit 11, orbital inclination 86.4°, angular velocity 3.6° / min, minimum elevation angle 8°;
[0059] Preferably, the LEO layer adopts the Iridum constellation to provide global coverage.
[0060] The construction steps of this algorithm are:
[0061] A. Building a satellite network model
[0062] A1. According to the predictability, periodicity, regularity and other characteristics of the satellite network, and aiming at the dynamic change characteristics of the satellite network topology, the present invention uses a discrete-based virtual topology to divide the system cycle into time slices. In each time slice, it is considered T...
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