Collection

Realizable Space-Air-Ground Integrated Networks for IoT

Submission status: Closed

With the development of science and technology and the continuous expansion of human production and activity space, a variety of Internet of Things (IoT) devices and services will cover mountains, deserts, oceans, deep earth, sky, space and other wider areas. It is also difficult to cover geographical areas such as extremely remote areas, oceans, deep earth, sky and even deep space by relying only on ground-based networks. Therefore, 5G ground-based network technology is difficult to meet the ubiquitous communication needs of the greatly expanded network space. In addition, the demand for multi-dimensional comprehensive information resources for future information services is gradually increasing. The efficient operation of services in disaster prevention and reduction, aviation, aviation and navigation, education and medical care, environmental monitoring, traffic management and other fields all depend on the comprehensive application of multi-dimensional information in space, sky and earth. In this context, the construction of space-air-ground integrated network (SAGIN), deep integration of space-based network, space-based network and ground-based network, giving full play to the functions of different network dimensions, can break the barriers of data sharing among independent network systems, achieve wide coverage and network interconnection.

SAGIN is a heterogeneous multidimensional network. The integration of various networks leads to extremely complex network structure and diverse network resources. However, the dynamic characteristics of SAGIN are different, resulting in more complex mobile characteristics of the whole network than that of ground-based networks. It is quite a challenge to develop a holistic realizable solution for the SAGIN with heterogeneity, self-organization, and time-variability characteristics. The goal of the Topical Collection is to raise the research attention promote the principle of the design of SAGIN for IoT. This Topical Collection solicits the following topics, but not limited to:

• System architecture and protocol design of realizable SAGIN for IoT

• Reliable, low-latency communication networks of realizable SAGIN for IoT

• Planning and management of sensors for realizable SAGIN

• Data analytics of realizable SAGIN for IoT

• Structural optimization and control of realizable SAGIN for IoT

• Cyber security and privacy in realizable SAGIN for IoT

• Cloud/edge computing and task/data/computation offloading for realizable SAGIN

• Distributed learning and edge intelligence SAGIN architectures for IoT

• Experiences from IoT testbeds and field-trials for realizable SAGIN

Keywords: Space-air-ground integrated network; Internet of Things; Communication networks; Sensors planning; Structural optimization; System architecture; Cyber security; Protocol design; Cloud/edge computing; Data analytics.

Editors

Yunhe Sun ,

Yunhe Sun

Dr. Yunhe Sun, Shenyang Aerospace University, China Yunhe Sun received the B.S. degree in the electric engineering in 2016, and the Ph.D degree in the power electronics and power drives in 2023, all from the Northeastern University, Shenyang, China. She is now a lecturer at the School of Computer Science at Shenyang Aerospace University, Shenyang, China. Her research interests power system resilience, security, and catastrophe risk management and the structural controllability and observability analysis of complex networks.
Liang Zhao ,

Liang Zhao

Prof. Liang Zhao, Shenyang Aerospace University, China Liang Zhao is a Professor at Shenyang Aerospace University, China. He received his Ph.D. degree from the School of Computing at Edinburgh Napier University in 2011. Before joining Shenyang Aerospace University, he worked as associate senior researcher in Hitachi (China) Research and Development Corporation from 2012 to 2014. He is also a JSPS invitational Fellow (2023). He was listed as Top 2% of scientists in the world by Standford University (2022). His research interests include ITS, VANET, WMN and SDN.
Daniele Tarchi &

Daniele Tarchi

Prof. Daniele Tarchi, University of Bologna, Italy Daniele Tarchi received his M.Sc. degree in Telecommunications Engineering and Ph.D. degree in Informatics and Telecommunications Engineering from the University of Florence, Florence, Italy, in 2000 and 2004, respectively. He is currently an Associate Professor at the University of Bologna, Italy. His research interests are mainly on Wireless Communications and Networks, Satellite Communications and Networks, Edge Computing.
Shaohua Wan

Shaohua Wan

Prof. Shaohua Wan, University of Electronic Science and Technology of China, China Shaohua Wan received Ph.D. degree from School of Computer, Wuhan University in 2010. He is currently a Professor with the Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China. From 2016 to 2017, he was a visiting professor at with the Department of Electrical and Computer Engineering, Technical University of Munich, Germany. His main research interests include deep learning for Internet of Things.