Satellite-based routing decision making method and device and storage medium
By predicting congestion levels in satellite networks and using genetic algorithms to determine the optimal routing path, the problem of data transmission delay and packet loss caused by the inability to predict satellite congestion is solved, ensuring the reliability and efficiency of data transmission.
CN121690355AActive Publication Date: 2026-03-17YINHE HANGTIAN (XIAN) TECHNOLOGY CO LTD
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Patent Information
- Application Number
- CN202610186942.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-10
- Publication Date
- 2026-03-17
- Estimated Expiration
- 2046-02-10
AI Technical Summary
Technical Problem
Current technology cannot predict the degree of satellite congestion, which may lead to data transmission delays and packet loss when continuing to transmit data using the original routing strategy, resulting in unreliable data transmission.
Method used
By determining the reference curve and distribution curve during the sampling phase, the satellite congestion level for the next period is predicted, and a genetic algorithm is used to determine the optimal routing path to avoid excessive congestion.
Benefits of technology
This allows for the selection of less congested routing paths in the next time period, ensuring the reliability and efficiency of data transmission.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a satellite-based routing decision making method and device and a storage medium. The method comprises the following steps: determining a plurality of reference curves in each first sampling period; determining a first distribution curve in the current time period, and broadcasting the reference curve of the current time period, the first distribution curve and the channel capacity of each area in the current time period to each satellite; determining a reference curve of the next time period, calculating a deformation relation between the reference curve of the second sampling time period and the reference curve of the third sampling time period, and performing deformation processing on the first distribution curve to obtain a plurality of second distribution curves of the next time period; predicting the satellite congestion degree of each region in the next time period according to the channel capacity of each region in the current time period on the basis of the plurality of second distribution curves; and based on each region, constructing a plurality of corresponding routing paths, and determining an optimal routing path in the plurality of routing paths by using a genetic algorithm. Therefore, the technical effect of reliably transmitting data is achieved.
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