Satellite Network Resource Association Analysis and Collaborative Optimization Method

DOI

10.2991/iccia-19.2019.7How to use a DOI?

Keywords

Satellite network; resource management; characterization analysis; correlation algorithm; resource conversion.

Abstract

With the continuous development of satellites, the number and types of satellites continue to grow, people are increasingly demanding satellites, and the demand for satellite networks is increasing. Due to the wide coverage of the satellite, the long distance from the ground, the high dynamics, and many types, the difficulty of satellite network resource management is increased, resulting in a series of problems such as improper resource management and idle resources in the satellite network. In view of the above problems, this paper firstly uses the coarse-grained method to classify the satellite network's multi-dimensional resources and uses the characteristic parameters of the resource elements to perform fine-grained characterization and analysis of the satellite network resources; then, because the single resource element can’t meet the needs of various tasks of the satellite network, a multi-dimensional resource element association algorithm for satellite networks is proposed; finally, for the multi-dimensional resource collaborative optimization problem, a resource conversion strategy is pro proposed to solve the problem of resource shortage in satellite network communication. After simulation verification, the resource conversion strategy is better than the traditional method under the shortage of satellite network communication resources.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Debin Wei
AU  - Junpeng Zhang
AU  - Li Yang
AU  - Chengsheng Pan
PY  - 2019/07
DA  - 2019/07
TI  - Satellite Network Resource Association Analysis and Collaborative Optimization Method
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 42
EP  - 52
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.7
DO  - 10.2991/iccia-19.2019.7
ID  - Wei2019/07
ER  -