Research on Multi-Orbit Hybrid Satellite Network Routing Algorithm Based on Detection and Self-Learning
- Resource Type
- Conference
- Authors
- Fang, Feng; Zhang, Rui; Li, Ming; Li, Xiangqun
- Source
- 2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC) IMCCC Instrumentation & Measurement, Computer, Communication and Control (IMCCC), 2018 Eighth International Conference on. :575-580 Jul, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Robotics and Control Systems
Signal Processing and Analysis
Satellites
Routing
Space vehicles
Network topology
Satellite broadcasting
Orbits
Topology
Detection
Self-learning
Multi-orbit Hybrid Satellite Network
Routing Algorithm
- Language
With the rapid development of commercial space program, the constellations of low-orbit satellites continue to emerge. The use of satellite networks and terrestrial networks to construct a space-ground integrated network and provide users with seamlessly connected communication services has become a trend in the future. Due to the relative motion characteristics of satellites, existing routing technologies such as routing algorithms based on rule-based network topology can no longer meet the requirements for routing calculation in such a dynamic network topology. Based on the analysis of the routing strategies of existing typical satellite networks and the characteristics of satellite operation, this paper illustrates a multi-orbit hybrid satellite network routing algorithm based on detection and self-learning. The algorithm has a simple control process with high reliability. The simulation results show that the protocol has good network performance in terms of effective data transmission rate and data routing hops, and can support the design of routing protocols for multi-orbit mixed satellite networks.