Model of Ground-Space Command Information Network with Data Path Formation under External Interference on Radio Channels
Abstract
Introduction: When solving the problems of spacecraft control, networking technologies are implemented in ground-space command information networks, having significant advantages over the technologies currently in use, due to their globality and flexibility in using connected resources of a space relay segment under external interference affecting the radio channels of information exchange with the spacecrafts. Purpose: Our goal is to develop a model and algorithms for routing messages in ground-space command-information networks. Results: A mathematical model has been developed based on an undirected weighted graph. The model describes the operation of a prospective ground-space command information network under external interference effects on the radio channels of information exchange with the spacecrafts. The message routing algorithm in the network is based on the search for the shortest path in a given metric in graphs with a dynamic structure. The algorithm determines the optimal route of carrying the information to the spacecraft subscriber when a “virtual” channel is formed in the network. A peculiar feature of the model used in the message routing algorithm is its scalability. It can be used in either a full mesh or partial mesh network. Practical relevance: The developed model allows you to use simulation for studying the probabilistic and temporal characteristics of spacecraft control and data exchange on the base of network technology. The presented simulation results demonstrate the ways to achieve higher scores in the globality and speed of spacecraft control with networking under external interference on the radio channels of the space relay segment.Published
2017-02-20
How to Cite
Kharchenko, A., & Ushakov, I. (2017). Model of Ground-Space Command Information Network with Data Path Formation under External Interference on Radio Channels. Information and Control Systems, (1), 23-30. https://doi.org/10.15217/issn1684-8853.2017.1.23
Issue
Section
System and process modeling