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Satellite Network Task Deployment Method Based on SDN and ICN

Authors :
Zhiguo Liu
Xiaoqi Dong
Lin Wang
Jianxin Feng
Chengsheng Pan
Yunqi Li
Source :
Sensors, Vol 22, Iss 14, p 5439 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

With the rapid development of 5G and the Internet of Things, satellite networks are emerging as an indispensable part of realizing wide-area coverage. The growth of the constellation of low-orbit satellites makes it possible to deploy edge computing services in satellite networks. This is, however, challenging due to the topological dynamics and limited resources of satellite networks. To improve the performance of edge computing in a satellite network, we propose a satellite network task deployment method based on SDN (software-defined network) and ICN (information-centric network). In this method, based on the full analysis of satellite network resources, a mission deployment model of a low-orbit satellite network is established. The genetic algorithm is then used to solve the proposed method. Experiments confirm that this method can effectively reduce the response delay of the tasks and the network traffic caused by task processing.

Details

Language :
English
ISSN :
14248220
Volume :
22
Issue :
14
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.3ef90ab3b8c04c8a866df6404ccd8124
Document Type :
article
Full Text :
https://doi.org/10.3390/s22145439