Next Article in Journal
RMLNet—A Reliable Wireless Network for a Multiarea TDOA-Based Localization System
Previous Article in Journal
An Ultra-Short Baseline Positioning Model Based on Rotating Array & Reusing Elements and Its Error Analysis
Open AccessArticle

Satellite Edge Computing for the Internet of Things in Aerospace

College of Intelligence Science and Technology, The National University of Defense Technology, Changsha 410073, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4375; https://doi.org/10.3390/s19204375
Received: 4 September 2019 / Revised: 7 October 2019 / Accepted: 9 October 2019 / Published: 10 October 2019
(This article belongs to the Section Internet of Things)
As one of the information industry’s future development directions, the Internet of Things (IoT) has been widely used. In order to reduce the pressure on the network caused by the long distance between the processing platform and the terminal, edge computing provides a new paradigm for IoT applications. In many scenarios, the IoT devices are distributed in remote areas or extreme terrain and cannot be accessed directly through the terrestrial network, and data transmission can only be achieved via satellite. However, traditional satellites are highly customized, and on-board resources are designed for specific applications rather than universal computing. Therefore, we propose to transform the traditional satellite into a space edge computing node. It can dynamically load software in orbit, flexibly share on-board resources, and provide services coordinated with the cloud. The corresponding hardware structure and software architecture of the satellite is presented. Through the modeling analysis and simulation experiments of the application scenarios, the results show that the space edge computing system takes less time and consumes less energy than the traditional satellite constellation. The quality of service is mainly related to the number of satellites, satellite performance, and task offloading strategy. View Full-Text
Keywords: edge computing; internet of things; intelligent satellite edge computing; internet of things; intelligent satellite
Show Figures

Figure 1

MDPI and ACS Style

Wang, Y.; Yang, J.; Guo, X.; Qu, Z. Satellite Edge Computing for the Internet of Things in Aerospace. Sensors 2019, 19, 4375.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop