Satellite Network Task Deployment Method Based on SDN and ICN

Author:

Liu Zhiguo,Dong Xiaoqi,Wang Lin,Feng Jianxin,Pan Chengsheng,Li YunqiORCID

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.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference19 articles.

1. LEO Satellite Constellation for Internet of Things

2. Green Data-Collection From Geo-Distributed IoT Networks Through Low-Earth-Orbit Satellites

3. CORAL-SDN: A software-defined networking solution for the Internet of Things;Theodorou;Proceedings of the IEEE Conference on Network Function Virtualization & Software Defined Networks,2017

4. SDN-Based Multimedia Content Delivery in 5G MmWave Hybrid Satellite-Terrestrial Networks;Mudonhi;Proceedings of the 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC),2018

5. A Cross-Domain SDN Architecture for Multi-Layered Space-Terrestrial Integrated Networks

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3