Satellite-based routing decision making method and apparatus, 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 caused by unpredictable congestion in satellite networks is solved, achieving reliable and efficient data transmission.
CN121690355BActive Publication Date: 2026-05-22YINHE HANGTIAN (XIAN) TECHNOLOGY CO LTD
4 Cites 0 Cited by
Patent Information
- Application Number
- CN202610186942.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-10
- Publication Date
- 2026-05-22
- Estimated Expiration
- 2046-02-10
AI Technical Summary
Technical Problem
Current technology cannot predict the degree of satellite congestion, which may lead to excessive satellite congestion when continuing data transmission using the original routing strategy, resulting in data transmission delays and packet loss, and making it impossible to transmit data reliably.
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 congestion.
Benefits of technology
Effectively predict satellite congestion levels to ensure the reliability and efficiency of data transmission, and reduce transmission latency and packet loss.
✦ Generated by Eureka AI based on patent content.
Abstract
The application discloses a satellite-based routing decision-making method and device and a storage medium, comprising the following steps: determining a plurality of reference curves in each first sampling period; determining a first distribution curve in a current period, and broadcasting the reference curve in the current period, the first distribution curve and the channel capacity of each region in the current period to each satellite; determining a reference curve in a next period, calculating the deformation relationship between the reference curve in the second sampling period and the reference curve in the third sampling period, deforming the first distribution curve to obtain a plurality of second distribution curves in the next period; predicting the satellite congestion degree of each region in the next period based on the channel capacity of each region in the current period according to the plurality of second distribution curves; and constructing a plurality of corresponding routing paths based on each region, and determining an optimal routing path in the plurality of routing paths by using a genetic algorithm. Thus, the technical effect of reliably transmitting data is achieved.
Need to check novelty before this filing date? Find Prior Art