Satellite Network Task Deployment Method Based on SDN and ICN

Zhiguo Liu; Xiaoqi Dong; Lin Wang; Jianxin Feng; Chengsheng Pan; Yunqi Li

doi:10.3390/s22145439

Satellite Network Task Deployment Method Based on SDN and ICN

Sensors (Basel). 2022 Jul 21;22(14):5439. doi: 10.3390/s22145439.

Authors

Zhiguo Liu¹, Xiaoqi Dong¹, Lin Wang², Jianxin Feng¹, Chengsheng Pan^{1

3}, Yunqi Li¹

Affiliations

¹ Communication and Network Laboratory, Dalian University, Dalian 116622, China.
² School of Environmental and Chemical Engineering, Dalian University, Dalian 116622, China.
³ School of Electronics and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 211800, China.

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.

Keywords: edge computing; information-centric network (ICN); satellite networks; software-defined network (SDN); task deployment.

Grants and funding

This research was funded by the supported by the National Natural Science Foundation of China grant number [No.61931004]. And the APC was funded by Dalian University.