2020 IEEE International Conference - Edgence := Edge + Intelligence
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IEEE 2020
International Conference
on Space-Air-Ground Computing
Dec. 4,2020 - Dec. 6,2020
Beijing · China
IEEE 2020
2020
International Conference
on Space-Air-Ground Computing
CONTENTS
Committee 03
Program 05
Keynote Speech 06
Invited Speech 13
Paper Session 21
Venue 24
IEEE SAGC 2020
Conference Committee > Honorary Chairs Ping Zhang Beijing University of Posts and Telecommunications,China Xuemin (Sherman) Shen University of Waterloo,Canada > General Chairs Shangguang Wang Beijing University of Posts and Telecommunications,China Ching-Hsien Hsu UniAsia University,Taiwan Qinyu Zhang Harbin Institute of Technology (Shenzhen),China > Program Chairs Ning Zhang University of Windsor,Canada Ao Zhou Beijing University of Posts and Telecommunications,China Minho Jo Korea University,South Korea > Computing Track Chair Xianfu Chen VTT Tech. Research Centre, Finland Suzhi Cao Chinese Academy of Sciences, China Kaijun Ren National Univ. of Defense Technology, China > Communication Track Chair Celimuge Wu Uni. of Electro-Communications, Japan Nan Zhao Dalian University of Technology, China Tingting Zhang HIT (Shenzhen), China > Security and Privacy Track Chair Mohamed Mahmoud Tennessee Technological Uni., USA Dajiang Chen UESTC, China Kok-Seng Wong VinUniversity, Vietnam
> Publication Chair Lingyan Zhang Central South University,China Chunhe Song Chinese Academy of Sciences, China Rongfei Fan Beijing Institute of Technology, China > Web Chair Jingyun Wang Beijing University of Posts and Telecommunications,China > TPC Member Xianfu Chen VTT Tech. Research Centre, Finland Suzhi Cao Chinese Academy of Sciences, China Kaijun Ren National Univ. of Defense Technology, China Celimuge Wu Uni. of Electro-Communications, Japan Nan Zhao Dalian University of Technology, China Tingting Zhang HIT (Shenzhen), China Mohamed Mahmoud Tennessee Technological Uni., USA Dajiang Chen UESTC, China Kok-Seng Wong VinUniversity, Vietnam Sai Mounika Errapotu University of Texas at El Paso, USA Zhi Liu Shizuoka University, Japan Hassan Aboubakr Omar Huawei Inc., Ottawa, Canada Xuanli Wu Harbin Institute of Technology, China Khalid Aldubaikhy Qassim University, Saudi Arabia Tao Huang James Cook University, Australia Muhammad Ismail Tennessee Tech University, USA Huaqing Wu University of Waterloo, Canada Tao Han University of North Carolina at Charlotte, USA
PROGRAM Time Content Speaker Session Chair
9:00-9:30 Opening Ceremony
Prof. Yunhao Liu, ACM/IEEE Fellow,
9:30-10:10 Keynote Speech 1
Tsinghua University
Shangguang Wang,
Coffee Break BUPT
Dr. Jun Xu, Deputy Chief Designer,
10:20-11:00 Keynote Speech 2
CASIC
11:00-11:40 Keynote Speech 3 Prof. Xuanzhe Liu, Peking Univesity
Launch
Prof. Mianxiong Dong, Muroran
13:30-14:00 Invited Speech 1
Institute of Technology, Japan
Prof. Ye Yuan, Beijing Institute of
14:00-14:30 Invited Speech 2 Yingjie Wang,
Technology, China
Yantai University
4-Dec. Prof. Tie Qiu, Tianjin University,
14:30-15:00 Invited Speech 3
BUPT Hotel China
Conference
Room 5 Dr. Mengwei Xu, Beijing University of
15:00-15:30 Invited Speech 4
Posts and Telecommunications
Coffee Break
Prof. Zhe Liu, Nanjing University of
15:40-16:40 Invited Speech 5
Aeronautics and Astronautics
Prof. Jiliang Wang, Tsinghua
16:10-16:40 Invited Speech 6
University
Dr. Shuo Wang, China Mobile Lingyan Zhang,
16:40-17:10 Invited Speech 7
Research Institute Central South
University
Dr. Suzhi Cao, Technology and
17:10-17:40 Invited Speech 8 Engineering Center for Space
Utilization
Prof. Hongbo Zhao, Beihang
17:40-18:10 Invited Speech 9
University
18:10 Banquet
Prof. Xiaojiang Du, IEEE Fellow,
8:30-9:10 Keynote Speech 4 Ning Zhang,
5-Dec. Temple University, USA
VooV Meeting University of
(Tencent Prof. Zhu Han, IEEE Fellow, Windsor
9:10-9:50 Keynote Speech 5
Meeting) University of Houston, USA
399 160 147 Yuanzhe Li,
10:00-11:20 Paper Session 1 Computing Session 1
BUPT
Qing Li,
VooV Meeting 14:00-15:00 Paper Session 2 Computing Session 2
BUPT
(Tencent
Meeting) Lipei Yang,
521 786 845 15:00-16:20 Paper Session 3 Communication Session 1
BUPT
Prof. Lin Cai, IEEE Fellow, University
8:30-9:10 Keynote Speech 6 Mengwei Xu,
of Victoria, Canada
BUPT
6-Dec.
Prof. Stephen S. Yau, IEEE Fellow,
VooV Meeting 9:10-9:50 Keynote Speech 7
Arizona State University, USA
(Tencent
Meeting) Jinliang Yuan,
9:50-10:50 Paper Session 4 Communication Session 2
370 408 963 BUPT
Qiyang Zhang,
10:50-12:20 Paper Session 5 Security Session
BUPT
KEYNOTE SPEECH
AIOT: Artificial Intelligence in the Edge
Keynote
Speech 1 Prof. Yunhao Liu, ACM/IEEE Fellow, Tsinghua
4-Dec. 9:30-10:10
University
Yunhao Liu, ACM Fellow and IEEE Fellow, Editor in Chief of
ACM Transactions on Sensor Networks, Chang Jiang
Professor and Dean of GIX at Tsinghua University.
Yunhao Liu
《AIOT: Artificial Intelligence in the Edge》
IEEE SAGC 2020
KEYNOTE SPEECH
Wideband Mobile Satellite Communication Protocols and Networking
Keynote
Speech 2 Dr. Jun Xu, Deputy Chief Designer, CASIC 4-Dec. 10:20-11:00
Dr Xu received his PhD from University of Waterloo. His expertise covers
satellite and wireless communication protocols and standardization with focus
on DVB S2/S2X, 3GPP, IETF, etc. As a designer of several world most
popular GEO and LEO satellite systems, he was an inventor of 25 US patents
as well as many international patents. He is vice Chief Designer of CASIC
and Chair of Satellite Networking Technical Committee of CCSA.
Jun Xu
《Wideband Mobile Satellite Communication Protocols and Networking》
We proposed a novel wideband mobile satellite communication system, including physical
and upper layer protocols for space-ground integrated wireless transmission. With
advancing DVB S2/S2X to support mobility, we developed a complete solution for hybrid
GEO/LEO networks. The system supports both bent-pipe and regenerative satellites.
IEEE SAGC 2020
KEYNOTE SPEECH
Next-Generation Intelligent Software Systems: From Centralization to Ubiquity
Keynote
Speech 3 Prof. Xuanzhe Liu, Peking Univesity 4-Dec. 11:00-11:40
Dr. Xuanzhe Liu is now an associate professor with the School of Electronics
Engineering and Computer Science in Peking University. His recent interests are
in the areas of systems software for Web, services computing, mobile computing,
and machine learning. He has published over 70 referred papers in prestigious
conferences like WWW, ICSE, FSE MobiCom, MobiSys, etc., and peer-reviewed
journals like ACM TOSEM/TOIS and IEEE TSE/TMC, etc. He received the Best
Paper Awards from WWW 2019, ICSS 2010, CyberC 2009. He was recognized
as the Young Scientist Award that was co-awarded by China Computer
Federation (CCF) and IEEE Computer Society, the Rising Star Award of IEEE
Technical Committee on Services Computing, and other various awards. He was
Xuanzhe Liu awarded as the “Most Respected and Esteemed Teacher” in 2019, which was
completely voted by the students from Peking University, and the Distinguished
Teaching Award in 2018.
《Next-Generation Intelligent Software Systems:
From Centralization to Ubiquity》
With the fast deployment and wide coverage of networks, software systems play the increasingly
important role to interconnect the information space, physical space, and human society. The advanced
machine learning techniques have been increasingly important core components in modern software
systems and them more adaptive and intelligent. It leaves huge space for system researchers and
practitioners to invent new architectures, abstractions, and technologies. Currently, such systems are
typically “centralized”, i.e., collecting a large volume of data from millions or billions of client devices
onto the cloud and performing the analytics. However, we argue that the centralized fashion may not be
always adequate for all application scenarios, given the increasing capability of mobile/IoT devices, wide
deployment of edge appliances, and especially concerns of data privacy. In this talk, we envision some
recent trends of making intelligence more “ubiquitous” out of only the cloud. We will talk about the
key technologies that can drive the trend, including the programming model, containers, collaborative
learning, and so on.
IEEE SAGC 2020
KEYNOTE SPEECH
e-SAFE: Secure, Efficient and Forensics-Enabled Access to Wireless Implantable
Keynote Medical Devices
Speech 4 Prof. Xiaojiang Du, IEEE Fellow, Temple University,
5-Dec. 8:30-9:10
USA
Dr. Xiaojiang (James) Du is a tenured Full Professor and the Director of the Security
And Networking (SAN) Lab in the Department of Computer and Information
Sciences at Temple University, Philadelphia, USA. Dr. Du received his B.S. and M.S.
degree in Electrical Engineering (Automation Department) from Tsinghua University,
Beijing, China in 1996 and 1998, respectively. He received his M.S. and Ph.D.
degree in Electrical Engineering from the University of Maryland, College Park in
2002 and 2003, respectively. His research interests are security, wireless networks,
and systems. He has authored over 460 journal and conference papers in these
areas, as well as a book published by Springer. Dr. Du has been awarded more than
6 million US Dollars research grants from the US National Science Foundation
(NSF), Army Research Office, Air Force Research Lab, NASA, the State of
Pennsylvania, and Amazon. He won the best paper award at IEEE ICC 2020, IEEE
GLOBECOM 2014 and the best poster runner-up award at the ACM MobiHoc 2014.
He serves on the editorial boards of three international journals. Dr. Du served as
the lead Chair of the Communication and Information Security Symposium of the
Xiaojiang Du IEEE International Communication Conference (ICC) 2015, and a Co-Chair of
Mobile and Wireless Networks Track of IEEE Wireless Communications and
Networking Conference (WCNC) 2015. He is (was) a Technical Program Committee
(TPC) member of several premier ACM/IEEE conferences such as INFOCOM (2007
- 2020), IM, NOMS, ICC, GLOBECOM, WCNC, BroadNet, and IPCCC. Dr. Du is an
IEEE Fellow and a Life Member of ACM.
《e-SAFE: Secure, Efficient and Forensics-Enabled Access to Wireless
Implantable Medical Devices》
To facilitate monitoring and management, modern Implantable Medical Devices (IMDs) are often
equipped with wireless capabilities, which raise the risk of malicious access to IMDs. Although
schemes are proposed to secure the IMD access, some issues are still open. First, pre-sharing a
long-term key between a patient’s IMD and a doctor’s programmer is vulnerable since once the
doctor’s programmer is compromised, all of her patients suffer; establishing a temporary key by
leveraging proximity gets rid of pre-shared keys, but as the approach lacks real authentication, it
can be exploited by nearby adversaries or through man-in-the-middle attacks. Second, while
prolonging the lifetime of IMDs is one of the most important design goals, few schemes explore to
lower the communication and computation overhead all at once. Finally, how to safely record the
commands issued by doctors for the purpose of forensics, which can be the last measure to protect
the patients’ rights, is commonly omitted in the existing literature. Motivated by these important
yet open problems, we propose an innovative scheme e-SAFE, which significantly improves security
and safety, reduces the communication overhead and enables IMD-access forensics. We present a
novel lightweight compressive sensing based encryption algorithm to encrypt and compress the
IMD data simultaneously, reducing the data transmission overhead by over 50% while ensuring
high data confidentiality and usability. Furthermore, we provide a suite of protocols regarding
device pairing, dual-factor authentication, and accountability-enabled access. The security analysis
and performance evaluation show the validity and efficiency of the proposed scheme.
IEEE SAGC 2020
KEYNOTE SPEECH
Aerial Access Networks for 6G: From UAV, HAP, to Satellite Communication Networks
Keynote
Speech 5 Prof. Zhu Han, IEEE Fellow, University of Houston,
5-Dec. 9:10-9:50
USA
Zhu Han received the B.S. degree in electronic engineering from Tsinghua
University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering
from the University of Maryland, College Park, in 1999 and 2003, respectively.
From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland.
From 2003 to 2006, he was a Research Associate at the University of Maryland.
From 2006 to 2008, he was an assistant professor in Boise State University,
Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and
Computer Engineering Department as well as Computer Science Department at
University of Houston, Texas. His research interests include security, wireless
resource allocation and management, wireless communication and networking,
game theory, and wireless multimedia. Dr. Han is an NSF CAREER award
recipient 2010. Dr. Han has several IEEE conference best paper awards, and
winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award
for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G.
Abraham Prize in the field of Communication Systems (Best Paper Award for
IEEE Journal on Selected Areas on Communications). Dr. Han is the winner
Zhu Han 2021 IEEE Kiyo Tomiyasu Award. He has been IEEE fellow since 2014, AAAS
fellow since 2020 and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is
1% highly cited researcher according to Web of Science since 2017.
《Aerial Access Networks for 6G: From UAV, HAP, to Satellite
Communication Networks》
Providing “connectivity from the sky” is one new innovative trend in wireless communications for
beyond 5G or coming 6G communication systems. Satellites, high and low altitude platforms, drones,
aircrafts, and airships are being considered as candidates for deploying wireless communications
complementing the terrestrial communication infrastructure. Utilizing modern information network
technologies and interconnecting space, air, and ground network segments, the aerial access network
(AAN) has attracted many attentions from both academia and industry, which has been recognized as a
potential solution for the 6G systems. AANs are subject to heterogeneous networks that are engineered
to utilize satellites, high-altitude platforms (HAPs), and low-altitude platforms (LAPs) to build network
access platforms. Compared to terrestrial wireless networks, AANs are characterized by frequently
changed network topologies and more vulnerable communication connections. Furthermore, AANs have
the demand for the seamless integration of heterogeneous networks such that the network quality-of-
service (QoS) can be improved. Thus, designing mechanisms and protocols for AANs poses many
challenges. To solve these challenges, extensive research has been conducted. Notice that AANs are not
intended to replace the above existing technologies, but instead to work with them in a complementary
and integrated fashion. However, design, analysis, and optimization of AANs require multidisciplinary
knowledge, namely, knowledge of wireless communications and networking, signal processing, artificial
intelligence (e.g., for learning), decision theory, optimization, and economic theory. Therefore, this talk
first provides a general introduction to AANs integrated networks based on physical, MAC, and
networking layer requirements, followed by some state-of-the-art of AANs along with possible
applications.
IEEE SAGC 2020KEYNOTE SPEECH
High-reliability and low-latency LEO satellite backbone with directed percolation
Keynote routing
Speech 6 Prof. Lin Cai, IEEE Fellow, University of Victoria,
6-Dec. 8:30-9:10
Canada
Lin Cai received her M.A.Sc. and PhD degrees (awarded Outstanding Achievement in
Graduate Studies) in electrical and computer engineering from the University of
Waterloo, Waterloo, Canada, in 2002 and 2005, respectively. Since 2005, she has
been with the Department of Electrical & Computer Engineering at the University of
Victoria, and she is currently a Professor. She is an NSERC E.W.R. Steacie Memorial
Fellow and an IEEE Fellow. In 2020, she was elected as a Member of the Royal
Society of Canada's College of New Scholars, Artists and Scientists. Her research
interests span several areas in communications and networking, with a focus on network
protocol and architecture design supporting emerging multimedia traffic and Internet of
Things.
She was a recipient of the NSERC Discovery Accelerator Supplement (DAS) Grants in
2010 and 2015, respectively, and the Best Paper Awards of IEEE ICC 2008 and IEEE
WCNC 2011. She has founded and chaired IEEE Victoria Section Vehicular Technology
and Communications Joint Societies Chapter. She has been elected to serve the IEEE
Vehicular Technology Society Board of Governors, 2019-2021. She has served as an
area editor for IEEE Transactions on Vehicular Technology, a member of the Steering
Lin Cai Committee of the IEEE Transactions on Big Data (TBD) and IEEE Transactions on
Cloud Computing (TCC), an Associate Editor of the IEEE Internet of Things Journal,
IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular
Technology, IEEE Transactions on Communications, EURASIP Journal on Wireless
Communications and Networking, International Journal of Sensor Networks, and Journal
of Communications and Networks (JCN), and as the Distinguished Lecturer of the IEEE
VTS Society. She has served as a TPC co-chair for IEEE VTC2020-Fall, and a TPC
symposium co-chair for IEEE Globecom'10 and Globecom'13. She is a registered
professional engineer in British Columbia, Canada.
《High-reliability and low-latency LEO satellite backbone with
directed percolation routing》
With tens of thousands Low Earth Orbit (LEO) satellites covering Earth, LEO satellite networks can
provide coverage and services that are otherwise not possible using terrestrial communication
systems. The regular and dense LEO satellite constellation also provides new opportunities and
challenges for network architecture and protocol design. In this talk, we introduce a new routing
strategy named Directed Percolation Routing (DPR), aiming to provide Ultra-Reliable and Low-
Latency Communication (URLLC) services over long distances. Given the long propagation delay
and uncertainty of LEO communication links, using DPR, each satellite routes a packet over several
Inter-Satellite-Links (ISLs) towards the destination, without relying on link-layer retransmissions.
Considering the link redundancy overhead and delay/reliability tradeoff, DPR can control the size of
percolation. Using the Starlink constellation as an example, we demonstrate that with DPR, the
inter-continent propagation delay can be reduced by about 4 to 21 ms, while the reliability can be
several orders higher than single-path optimal routing.
IEEE SAGC 2020KEYNOTE SPEECH
Trusted Coordination of Collaborative Services Development for
Keynote Effective Space-Air-Ground Computing
Speech 7 Prof. Stephen S. Yau, IEEE Fellow, Arizona State
6-Dec. 9:10-9:50
University, USA
Stephen S. Yau is Professor of Computer Science and Engineering at Arizona
State University (ASU), Tempe, Arizona, USA. He served as the chair of the
Department of Computer Science and Engineering, and later as the director of
Information Assurance Center at ASU. Previously, he was on the faculties of
Northwestern University, Evanston, Illinois, and University of Florida, Gainesville.
Dr. Yau served as the president of the IEEE Computer Society and the editor-in-
chief of IEEE COMPUTER magazine. He organized many major conferences.
He served as the chair of the Organizing Committee of the 1989 World Computer
Congress sponsored by the International Federation for Information Processing,
and the general chair of the 2018 IEEE World Congress on Services. His current
research includes services computing, cybersecurity, software engineering,
distributed computing systems, IoT, and blockchain. He has received many
Stephen S. Yau
awards and recognitions, including the Tsutomu Kanai Award and Richard E.
Merwin Award of the IEEE Computer Society, and the Outstanding Contributions
Award of the Chinese Computer Federation. He is a Fellow of the IEEE and the
American Association for the Advancement of Science. He received the Ph.D.
degree from the University of Illinois, Urbana, in electrical engineering.
《Trusted Coordination of Collaborative Services Development for
Effective Space-Air-Ground Computing》
There are many major challenges to achieving effective space-air-ground computing (SAGC).
Due to the extensive, large-scale and complicated SGAC requirements and operations, the
developments of an SABC services project usually involves many teams with specific expertise
and different resources. These teams are often operating in a distributed environment, even if
they are in the same organization. The success of such development heavily relies on the
trusted coordination of all these teams during the entire development cycle. In this address,
how to achieve trusted coordination among all the teams for developing a large-scale and
complicated SAGC project. including the use of blockchain technology, will be discussed.
IEEE SAGC 2020INVITED SPEECH
Aero, Terra, Human: Next Generation Disaster Response Platform
Invited
Speech 1 Prof. Mianxiong Dong, Muroran Institute of
4-Dec.13:30-14:00
Technology, Japan
Mianxiong Dong received B.S., M.S. and Ph.D. in Computer Science and Engineering
from The University of Aizu, Japan. He is the youngest ever Vice President and
Professor of Muroran Institute of Technology, Japan. He was a JSPS Research
Fellow with School of Computer Science and Engineering, The University of Aizu,
Japan and was a visiting scholar with BBCR group at the University of Waterloo,
Canada supported by JSPS Excellent Young Researcher Overseas Visit Program
from April 2010 to August 2011. Dr. Dong was selected as a Foreigner Research
Fellow (a total of 3 recipients all over Japan) by NEC C&C Foundation in 2011. He is
the recipient of IEEE TCSC Early Career Award 2016, IEEE SCSTC Outstanding
Young Researcher Award 2017, The 12th IEEE ComSoc Asia-Pacific Young
Researcher Award 2017, Funai Research Award 2018, NISTEP Researcher 2018
(one of only 11 people in Japan) in recognition of significant contributions in science
and technology, 2019 Best Paper Award for IEEE Transactions on Emerging Topics
in Computing from IEEE Computer Society, and The 9th IEEE Asia-Pacific (AP)
Mianxiong Dong
Outstanding Paper Award 2020 from Communication Society. He is Clarivate
Analytics 2019 Highly Cited Researcher (Web of Science).
《Aero, Terra, Human: Next Generation Disaster Response Platform》
"How to face the threat of natural disasters" is always an important research topic. Currently, the
mainstream research of disaster management is how to accurately and promptly forecast and
notify such as earthquake early warning, but since complete disaster prevention is impossible, we
still have to focus on the rapid response after disasters. In addition, to gain insight into the real-
time situation of the affected area, we need the two-way communication between affected area
and outside world. However, once the network infrastructure suffers from disasters, connections
can be interrupted and support cannot reach affected area. Moreover, it is difficult to reconstruct
the communication line from scratch. In order to achieve a set of post-disaster two-way
communication solutions not relying on traditional network infrastructure, we design a next
generation disaster response platform. There are mainly three problems to solve in this platform.
First, the connections among users near to each other. Second, the connections between users and
access points (APs). Third, the connections between APs and access network to outside world. To
figure out first problem, we are going to make use of Device-to-Device (D2D) emergency
communication in gathering users within the range of 100+m. Then for the second one, we take
advantage of the high mobility of UAVs in fast building the emergency network with the range of
1000+m. For the third one, to realize the connection to outside world, we apply lower power wide
area network (LPWAN) to expand the range to 10000+m.
IEEE SAGC 2020INVITED SPEECH
Querying Shortest Path on Large Time Dependent Networks
Invited
Speech 2 Prof. Ye Yuan, Beijing Institute of Technology, China 4-Dec.14:00-14:30
Ye Yuan is a professor and doctoral supervisor in the School of Computer
Science and Technology, Beijing Institute of Technology. He is honored with the
NSFC Outstanding Young Scholar. He was awarded the First Prize for Scientific
and Technological Progress by the Ministry of Education and Liaoning Province,
the National Nomination Award for Excellent Doctoral Dissertation, and the
Excellent Doctoral Dissertation Award by the CCF. Dr. Yuan is a member of CCF
Technical Committee on Databases, a senior member of CCF, ACM and IEEE,
and a visiting scholar at the Hong Kong University of Science and Technology,
the University of Hong Kong, and the University of Edinburgh, UK. The research
interests of Dr. Yuan include graph data management, crowdsourced data
management and data privacy. He has published more than 70 papers in top
Ye Yuan
conferences/journals such as SIGMOD, VLDB, ICDE, VLDB Journal, IEEE Trans.
TKDE and IEEE Trans. TPDS
《Querying Shortest Path on Large Time Dependent Networks》
A graph is one of the most common data models, which is widely used in databases (e.g., road
traffic networks, social networks). However, in the real world, the structure of data is not static,
but usually changes according to some specific factors (e.g., time). Therefore, the time-
dependent graph was developed. Due to the different time model, time-dependent graphs
can be divided into two categories: discrete time-dependent graphs (e.g., subway networks,
railroad networks) and continuous time-dependent graphs (e.g., road networks). In this report,
we will first introduce the background and characteristics of the time-dependent graphs and
their impact on shortest path queries due to their practical applications. Secondly, we describe
in detail the two types of time-dependent models, as well as the existing works on them.
Finally, we introduce a more general model that can universally solve shortest path queries on
time-dependent graphs.
IEEE SAGC 2020INVITED SPEECH
Smart Internet of Things: Self-organization to Topology Evolution
Invited
Speech 3 Prof. Tie Qiu, Tianjin University, China 4-Dec.14:30-15:00
Tie Qiu is currently a Full Professor at School of Computer Science and
Technology, Tianjin University, China.
He holds Young Changjiang (Yangtze River) Scholar Award (2018) and Peiyang
Scholar award of Tianjin University. Prior to this position, he held assistant
professor in 2008 and associate professor in 2013 at School of Software, Dalian
University of Technology. He was a visiting professor at department of electrical
and computer engineering of Iowa State University in U.S. (2014-2015). He serves
as an associate editor of IEEE Transactions on Network Science and Engineering
(TNSE) and IEEE Transactions on Systems, Man, and Cybernetics: Systems, area
editor of Ad Hoc Networks (Elsevier), associate editor of Computers and Electrical
Engineering (Elsevier), Human-centric Computing and Information Sciences
(Springer), a guest editor of Future Generation Computer Systems. He serves as
General Chair, Program Chair, Workshop Chair, Publicity Chair, Publication Chair
or TPC Member of a number of international conferences. He has authored/co-
authored 9 books, over 150 scientific papers in international journals and
conference proceedings, such as IEEE/ACM Transactions on Networking, IEEE
Tie Qiu
Transactions on Mobile Computing, IEEE Transactions on Knowledge and Data
Engineering, IEEE Transactions on Industrial Informatics, IEEE Communications
Surveys & Tutorials, IEEE Communications, INFOCOM, GLOBECOM etc. There
are 10 papers listed as ESI highly cited papers. He has contributed to the
development of 4 copyrighted software systems and invented 16 patents. He is a
senior member of China Computer Federation (CCF) and a Senior Member of IEEE
and ACM.
《Smart Internet of Things: Self-organization to Topology Evolution》
Smart Internet of Things (IoT) includes numerous sensing nodes, sink nodes and
heterogeneous devices. For the large scale networks, the conventional self-organization
strategies are difficult to adapt the dynamic networking. Genetic algorithms are prone to
falling into premature convergence owing to the lack of global search ability caused by the
loss of population diversity during evolution. This talk combines the population state with the
evolutionary process and proposes an Adaptive Robustness Evolution Algorithm (AREA) with
self-competition for scale-free IoT topologies. In AREA, the crossover and mutation operations
are dynamically adjusted according to population diversity to ensure global search ability.
Moreover, a self-competitive mechanism is used to ensure convergence. Finally, the future
trends for smart IoT will be discussed.
IEEE SAGC 2020INVITED SPEECH
AI Systems towards Mobile and Edge Devices
Invited
Speech 4 Dr. Mengwei Xu, Beijing University of Posts and
4-Dec.15:00-15:30
Telecommunications
Mengwei Xu is now an assistant professor, doctoral advisor in Beijing University
of Posts and Telecommunications (BUPT). He hold both doctoral and bachelor
degrees from Peking University. He was also a visiting scholar in Purdue
University and Microsoft Research Asia. Dr. Xu has published 10+ papers on top
venues including MobiCom/MobiSys/UbiComp/IEEE TMC, and served as TPC
member or reviewer at ICDCS/UbiComp/ICWS/IEEE TMC. His research mainly
centers around mobile and edge computing.
Mengwei Xu
《AI Systems towards Mobile and Edge Devices》
AI is becoming pervasive and ubiquitous, existing in every corner of our computing world.
Traditional AI tasks, especially those driven by deep learning algorithm, are deployed in a
cloud-centric fashion, which comes with the cost of user privacy and unstable network delay.
Can we push the AI workloads into the network edge, with as little help from cloud as possible?
In this talk, I will present our efforts towards this direction. We've built systems & software to
address the performance and privacy issues of AI applications on various edge devices
(smartphone, wearables, and cameras). Those systems combine the domain-specific
knowledge of different workloads and platforms with the recent advances from AI community,
thus provide significant benefits compared to prior work.
IEEE SAGC 2020INVITED SPEECH
Memory-Efficient Montgomery Curve Cryptography Implementation
Invited
Speech 5 Prof. Zhe Liu, Nanjing University of Aeronautics and
4-Dec.15:40-16:40
Astronautics
Zhe Liu is a professor in the College of Computer Science and Technology,
Nanjing University of Aeronautics and Astronautics and program manager in
National Natural Science Foundation of China. He received the B.S. and M.S.
degrees from Shandong University, China, in 2008 and 2011, respectively, and
the Ph.D. degree from the Laboratory of Algorithmics, Cryptology and Security,
University of Luxembourg, Luxembourg, in 2015. His research interests include
security, privacy and cryptography solutions for the Internet of Things. He has co-
authored over 100 research peer-reviewed journal and conference papers. He
was a recipient of the prestigious FNR Awards-Outstanding Ph.D. Thesis Award
in 2016, ACM CHINA SIGSAC Rising Star Award in 2017 as well as DAMO
Academy Young Fellow in 2019. He has served as program committee member
Zhe Liu
in more than 50 international conferences.
《Memory-Efficient Montgomery Curve Cryptography Implementation》
Nowadays, billions of resource-constrained IoT devices have been deployed into our lives. IoT
has been applied to many industries around the world, including precision agriculture,
healthcare, energy, transportation, building management etc. While IoT brings us a lot of
conveniences, a number of serious concerns about dangers in the growth of IoT, especially in
the areas of security and privacy. Public-key cryptography (PKC), especially Elliptic Curve
Cryptography (ECC), is one of the major tools to defend data security and privacy. However,
the IoT devices are usually resource-constrained and it's difficult to implement the
complicated public-key cryptography on IoT devices. Massive efforts are required to carefully
reduce the code size and offer memory-efficient implementation of ECC while maintaining
high efficiency. In this presentation, I will present several memory-efficient techniques for
Montgomery Curve on resource-constrained IoT devices.
IEEE SAGC 2020INVITED SPEECH
Low Power Wide Area Networks: Opportunities & Challenges
Invited
Speech 6 Prof. Jiliang Wang, Tsinghua University 4-Dec.16:10-16:40
Jiliang Wang is an Associate Professor in School of Software, Tsinghua
University. His research mainly focuses on Internet of things and mobile
computing including low power wireless communication in IoTs (e.g., LPWANs,
wireless backscatter), sensing with various signals in IoTs (e.g., sensing and
tracking with WiFi, sound, LoRa, UWB, etc.), and efficient computing on the edge
and IoT devices. His research results have been published in ACM MobiCom,
ACM MobiSys, IEEE INFOCOM, IEEE ICNP, IEEE RTSS, IEEE/ACM
Transactions on Networking, and IEEE Transactions on Mobile Computing, etc.
He has served as the TPC member for various academic conferences including
Jiliang Wang IEEE INFOCOM, IEEE ICDCS, IEEE MASS, etc., the publication chair for ACM
TURC, the publicity chair for IEEE SECON, etc. He has won the best paper
award in IEEE MSN 2016, spotlight paper of IEEE TPDS, etc.
《Low Power Wide Area Networks: Opportunities & Challenges》
Recently, Low Power Wide Area Networks (LPWANs) have shown its promising in connecting
millions of devices in the age of Internet of Things, attracting much interest in both academia
and industry. LPWANs act as an important communication technique for connecting IoT
devices by providing long-distance and low-power communication under a low SNR. In this
talk, I will introduce the background, current status of LPWANs as well as the opportunities for
Internet of Things. Meanwhile, I will also discuss the challenges of LPWANs towards the vision
of ubiquitously connecting devices in Internet of Things, and our approaches to address those
challenges.
IEEE SAGC 2020INVITED SPEECH
B5G Standardization Progress of Terrestrial Satellite Integrated Network
Invited
Speech 7 Dr. Shuo Wang, China Mobile Research Institute 4-Dec.16:40-17:10
Wang Shuo, received the Ph.D. degree in information and
communication engineering from the Beijing University of Posts
and Telecommunications (BUPT), Beijing, China, in 2019. He is
currently working at the Department of network and IT technology,
China Mobile Research Institute. He is mainly engaged in the
research of 3GPP international standardization, B5G / 6G network
new technology, space-air-terrestrial integrated network
architecture, etc.
Shuo Wang
《B5G Standardization Progress of Terrestrial Satellite Integrated Network》
The main international standardization groups and specifications regarding the
integration of satellite and 5G system is introduced. Then the progress of
standardization of mainly 3GPP and ITU are elaborated. The work progress of
SA group and RAN group of 3GPP
Including requirement, architecture and management are introduced
respectively. Finally，the future directions of standardization in satellite and 5G
integration are summarized.
IEEE SAGC 2020INVITED SPEECH
Mobile Edge Computing Enable Space-air-ground integrated network
Invited
Speech 8 Dr. Suzhi Cao, Technology and Engineering Center
4-Dec.17:10-17:40
for Space Utilization
Suzhi Cao received the bachelor’s degree and the master’s degree from Tianjin
University in 2004 and 2007 respectively. She received the PhD degree from
Academy of Opto-electronics, Chinese Academy of Sciences in 2020. Dr. Cao is
currently an associate professor at Technology and Engineering Center for
Space Utilization, Chinese Academy of Sciences.
Her research interests include Satellite Network, Edge Computing and Distributed
Computing. She has published dozens of papers in the field of Satellite Edge
Computing, which includes satellite MEC architecture design, resource
management and scheduling, computing offloading, and service migration. She
also has a strong research interest in spatial information network technology,
spatial optical switching and routing technology, and has published many high-
Suzhi Cao level papers. Now she is the member of the National Standardization Technical
Committee for Opto electronic Measurement.
《Mobile Edge Computing Enable Space-air-ground integrated network》
Edge computing technologies are sparking innovation of satellite network. In the traditional
satellite network, the massive data are delivered to ground data center for processing, causing
the overload of satellite network and the long response time of users. In recent years, edge
computing has been envisaged as a promising solution to these challenges. In satellite edge
computing, satellites are equipped with sufficient computing resources and the intelligent
control system to process the data collected from satellite payloads or ground IoT devices, and
the processing result will be directly sent to the user by the satellite. Based on the support of
satellite network technology, cross-satellite parallel and distributed computing can also be
realized in smart satellite cluster, providing faster and better services for users. In this speech,
we first introduce the motivation and challenges of satellite edge computing. Then, we focus
on and analyze the key issues of satellite edge computing about space-based real-time
services: computing architecture design, resource characterization, resource allocation,
resource management and scheduling, computation offloading, and service migration. This
paper provides potential solutions and new ideas for the future research in this field.
IEEE SAGC 2020INVITED SPEECH
Collaborative edge computing for computation offloading in LEO satellite networks
Invited
Speech 9 Prof. Hongbo Zhao, Beihang University 4-Dec.17:40-18:10
Hongbo Zhao is an associate professor in the School of Electronic and Information Engineering,
Beihang University, Beijing, China. He received Ph.D. degree in communication and
information system from Beihang University in 2013. He has been teaching there since 2013.
From 2011 to 2012, he was a visiting scholar at the School of Navigation and Mapping,
University of Nottingham, UK. From 2012 to 2013, he was a visiting scholar at School of
Computer Science, Ohio State University, USA. He has long been engaged in scientific
research in the fields of satellite navigation and satellite communications. His current research
interests include the Satellite-terrestrial Network, edge computing, computation offloading.
From 2014 to 2016, he was a project leader for comprehensive design, simulation verification
and test evaluation of advanced navigation signal system, National 973 project. From 2015 to
2017, he was committed to the development and key technology research of high dynamic
GPS receivers, which was supported by the National Natural Science Foundation of China.
Since 2017, he has dedicated to Beidou navigation satellite ground verification system, which
was supported by Aerospace R&D Center of General Armament Department. In recent years,
he successively presided and completed more than ten national projects about satellite
navigation and the Satellite-terrestrial Network. And now, he works as a director of Navigation
and Location Service Center, Beihang University. He is a member of China Global Positioning
Hongbo Zhao System Satellite Navigation Committee and a member of Chinese Institute of Electronics. He
won many state and ministerial technical prizes, and published more than 30 academic papers.
《Collaborative edge computing for computation offloading in LEO satellite networks》
As a new type of network architecture, the Satellite-terrestrial Network integrates ground and satellite
networks, which covers natural spaces such as space, aviation, land, and ocean, and ensures the
information needs of various user activities such as space-based, land-based and sea-based. It provides a
ubiquitous and reliable network, but also faces some new challenges, especially when it meets the
growing demand of users for quality of service. With the rapid development of computation-intensive
and latency-sensitive applications such as speech recognition, face recognition, intelligent transportation
and 3D games, the Satellite-terrestrial Network is required to provide users with various computing
services. In this case, people can offload part of or all computing tasks of the user terminal to the data
center through computing offloading, and utilize the computing resources of the data center to
complete these tasks. However, the data center is usually built in a ground area far away from the user
terminal, which results in high transmission cost and service delay, and may not meet different
requirements of various users for quality of service in the network. To process these computation-
intensive and latency-sensitive tasks effectively and meet the requirements of users, mobile edge
computing (MEC) has emerged as a new computing model. MEC refers to sinking some resources in the
cloud center to the edge of the network, so that data can be processed at the edge of the network. We
introduce the idea of MEC in the mobile network into the Satellite-terrestrial Network. The core idea is to
extend the cloud computing platform to network edge or user terminal, providing users with multiple
levels and heterogeneous computing resources, and enabling users to obtain computing services from
anywhere in the world. And the network can improve user service experience and reduce redundant
network traffic. As one of the key technologies of MEC, computation offloading refers to the technology
that device terminals hand over part or all computing tasks to the cloud computing environment for
processing. How to efficiently offload tasks and allocate resources reasonably is a hot issue in this field.
Therefore, this talk first introduces the basic theory of MEC and computation offloading. Then, the
architecture of MEC enabled the Satellite-terrestrial Network is proposed, and key technology is
summarized and analyzed.
IEEE SAGC 2020PAPER SESSION
Computing Session 1 5-Dec. 10:00-11:20
Joint Route Planning and Traffic Signal Timing for Connected Bo Chen, Quan Yuan, Jinglin
ID:21
Vehicles: An Edge Cloud Enabled Multi-Agent Game Method Li, Jiawei Lu, Bichuan Zhu
Stackelberg Game based Computation Offloading and
ID:37 Tengwei Wang; Qibo Sun
Resource Allocation in Mobile Edge Computing
Distributed Task Offloading and Resource Allocation in Shichao Li, Hongbin Chen,
ID:6
Vehicular Edge Computing Siyu Lin, Ning Zhang
UAV-Assisted Cellular System: Offloading Strategy and Leilei Cao, Wanli Ni, Hui Tian,
ID:26
Bandwidth Allocation Meihui Hua, Guoliang Hao
Computing Session 2 5-Dec. 14:00-15:00
A Cloud Storage Framework for Massive Meteorological and Song Wu, Xiang Wang, Bo
ID:36 Oceanographic Data and the Application of Virtualization Tang, Xiaoyong Li, Junxing
Technology Zhu, Kefeng Deng
Shixin Liao, Yang Sun, Suzhi
ID:18 A 23.8Tbps Random Number Generator on a Single GPU
Cao, Lei Yang
Frequency-domain Dual Component Computation Diversity Yuqing Feng, Xiaojie Fang,
ID:10
for OFDM System Chengfang Li, Xuejun Sha
Communication Session 1 5-Dec. 15:00-16:20
5G-enabled Optimal Bi-Throughput for UAS Swarm Jian Wang, Yongxin Liu,
ID:15
Networking Shuteng Niu, Houbing Song
Budi Mr Rahmadya, Masahiro
On Link Performance According to Flight Route in Drone-
ID:27 Umehira, Xiaoyan Wang,
Based Wide Area Wireless Sensor Networks
Shigeki Takeda
A Full Link Wideband Predistortion Based on Under-sampled
ID:14 Shining Tian, Dewei Yang
Feedback Signal for Satellite Communications
A Novel MAC Protocol for VDES in Space-Air-Ground-Sea Xu Hu, Bin Lin, Ping Wang,
ID:31
Integrated Networks (Short Paper) Ying Wang
IEEE SAGC 2020PAPER SESSION
Communication Session 2 6-Dec. 9:50-10:50
Load Forecasting-Based Congestion Control Algorithm for
ID:23 Junwei Ji
Delay-Tolerant Networks
Research and Backoff Algorithm Improvement of Statistical
ID:11 Yongjian Li, Zhuoming Li
Priority-based Multiple Access Protocol
Ultra Low-latency MAC/PCS IP for High-speed Ethernet Dezheng Yuan, Hongwei Kan,
ID:38
(Short Paper) Shangguang Wang
Security Session 6-Dec. 10:50-12:20
Multi-Authority CP-ABE with Dynamical Revocation in Space- ZhiShuo Zhang, Wei Zhang,
ID:8
Air-Ground Integrated Network Zhiguang Qin
Jianghao Xue, Xin Zhou,
Hybrid Precoding for IRS-assisted Secure mmWave
ID:28 Chao Wang, Danyang Wang,
Communication System with SWIPT
Yue Zhao, Zan Li
Jin Zhou, Changsong Zheng,
LDPC Code based Pseudonym Scheme for Vehicular
ID:25 Yuedi Li, Hua Xu, Zhiguang
Networks
Qin, Dajiang Chen
A Lightweight and Efficient Key Generation Scheme for D2D Rongchun Wu, Chunwei Lou,
ID:20
Communication (Short Paper) Hao Wang, Yuedi Li, Hua Xu
Multi-Authority Attribute Based Encryption With Policy-hidden Wei Zhang, ZhiShuo Zhang,
ID:29
and Accountability (Short Paper) Yi Wu
IEEE SAGC 2020IEEE SAGC 2020
VENUE
Beijing BUPT Hotel
Phone
010-51299335
Address
No. 10, Xitucheng Road, Haidian District, Beijing
(North side of the west gate of Beijing University of Posts
and Telecommunications)
IEEE SAGC 2020CONFERENCE
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