A Space-Air-Ground Enabled Edge Computing Architecture for the Internet of Things

Author(s):  
Meihui Zhao ◽  
Xin Chang ◽  
Zhiting Wang ◽  
Qunlin Sun ◽  
Guocheng Lv ◽  
...  
2016 ◽  
Vol 5 (4) ◽  
pp. 84-91 ◽  
Author(s):  
Dario Sabella ◽  
Alessandro Vaillant ◽  
Pekka Kuure ◽  
Uwe Rauschenbach ◽  
Fabio Giust

2018 ◽  
Vol 5 (2) ◽  
pp. 1275-1284 ◽  
Author(s):  
Gopika Premsankar ◽  
Mario Di Francesco ◽  
Tarik Taleb

Author(s):  
P. J. Escamilla-Ambrosio ◽  
A. Rodríguez-Mota ◽  
E. Aguirre-Anaya ◽  
R. Acosta-Bermejo ◽  
M. Salinas-Rosales

Author(s):  
R. I. Minu ◽  
G. Nagarajan

In the present-day scenario, computing is migrating from the on-premises server to the cloud server and now, progressively from the cloud to Edge server where the data is gathered from the origin point. So, the clear objective is to support the execution and unwavering quality of applications and benefits, and decrease the cost of running them, by shortening the separation information needs to travel, subsequently alleviating transmission capacity and inactivity issues. This chapter provides an insight of how the internet of things (IoT) connects with edge computing.


2020 ◽  
Vol 6 (4) ◽  
pp. 1166-1179
Author(s):  
Apostolos Galanopoulos ◽  
Theodoros Salonidis ◽  
George Iosifidis

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4375 ◽  
Author(s):  
Yuxuan Wang ◽  
Jun Yang ◽  
Xiye Guo ◽  
Zhi Qu

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.


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