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In supporting mission-critical tasks such as those in industrial
automation and the next-generation vehicles, message passing in
wireless networked sensing and control systems is required to be
reliable and in real-time. Nonetheless, the design priorities on
reliability and real-time require us to rethink the models and
protocols for messaging, we still lack an interference model that is
local and accurate for distributed protocol design, and the basic
problem of computing probabilistic path delays is NP-hard. Focusing
on single-hop transmission scheduling and multi-hop spatiotemporal
data flow control, we address these challenges by pursuing the
following tasks: 1) Based on our physical-ratio-K (PRK) interference
model, we investigate control-theoretic approaches to online model
instantiation, and we address the challenges of large interference
range as well as anisotropic, asymmetric wireless communication; 2)
We propose a lightweight approach to computing probabilistic
path delays, and we propose a multi-timescale adaptation framework
for real-time messaging. The proposed research makes novel
contributions to the models, protocols, and network planning tools
for reliable, real-time wireless messaging. For instance, our PRK
interference model integrates protocol model's locality with
physical model's high-fidelity, thus it bridges the gap between the
suitability for distributed implementation and the enabled
scheduling performance. By controlling network operations at the
same timescale of the corresponding dynamics, our multi-timescale
adaptation framework ensures long-term optimality while addressing
short-term dynamics at the same time.
Along with the research, we also pursue an integrated, multi-level,
multi-component education plan. Our education activities will raise
public awareness and will improve student retention and the
participation of underrepresented groups in computing
Publications (Selected):
- Hongwei Zhang, Xiaohui Liu,
Chuan Li, Yu Chen, Xin Che, Feng Lin, Le Yi Wang, George Yin,
Scheduling with
Predictable Link Reliability for Wireless Networked Control,
IEEE Transactions on
Wireless Communications (TWC), 16(9):6135-6150, 2017
(A short version appeared in
IEEE/ACM IWQoS'15; ppt,
TinyOS
code] 16(9):6135-6150, 2017
- Shengbo Eben Li, Yang Zheng,
Keqiang Li, Feng Gao, Yujia Wu, Hongwei Zhang, J. Karl
Hedrick, Dynamical
Modeling and Distributed Control of Connected and Automated
Vehicles: Challenges and Opportunities, IEEE
Intelligent Transportation Systems, 9(3):46-58,
2017
- Yuehua Wang, Yu Chen, Chuan Li, Hongwei Zhang, Jayanthi
Rao, TJ Giuli, Patrick Gossman, Xiangying Yang, Jing Zhu, VInsight:
Enabling Open Innovation in Networked Vehicle Sensing and
Control, IEEE
Network, July/August 2016
- Xiangmao Chang, Jun Huang, Shucheng Liu, Guoliang Xing,
Hongwei Zhang, Jianping Wang, Liusheng Huang, Yi Zhuang,
Accuracy-aware
Interference Modeling and Measurement in Wireless Sensor
Networks,
IEEE Transactions on Mobile
Computing (TMC), 15(2):278-291, 2016
- Hongwei Zhang, Le Yi Wang, George Yin, Shengbo Eben Li,
Keqiang Li, Jing Hua, Yeuhua Wang, Chuan Li, Hai Jin, Trustworthy
Foundation
for CAVs in an Uncertain World: From Wireless Networking,
Sensing, and Control to Software-Defined Infrastructure, Road Vehicle Automation, Springer,
2016
- Qiao Xiang, Hongwei Zhang, In-Network
Processing in Wireless Sensor Networks, Handbook
of Sensor Networking: Advanced Technologies and
Applications, CRC Press, 2015
- Xiaohui Liu, Yu Chen, Hongwei Zhang, A
Maximal Concurrency and Low Latency Distributed Scheduling
Protocol for Wireless Sensor Networks, International Journal of Distributed Sensor
Networks (Hindawi), 2015
-
Hongwei Zhang, Xiaohui Liu, Chuan Li, Yu Chen, Xin Che,
Feng Lin, Le Yi Wang, George Yin, Scheduling
with Predictable Link Reliability for Wireless Networked
Control, IEEE/ACM
International Symposium on Quality of Service (IWQoS),
2015 (Acceptance rate: 22.5%
= 20/89)
-
Xin Che, Hongwei Zhang, Xi Ju, The
Case for Addressing the Ordering Effect in
Interference-Limited Wireless Scheduling, IEEE
Transactions
on Wireless Communications (TWC), 13(9), September
2014 (A
short version appeared in IEEE ICNP'11.)
-
Hongwei Zhang, Xin Che, Xiaohui Liu, Xi Ju, Adaptive
Instantiation of the Protocol Interference Model in
Wireless Networked Sensing and Control, ACM Transactions on Sensor Networks (TOSN),
10(2), January 2014 (A short version appeared
in IEEE SECON'10.)
-
Xiaohui Liu, Hongwei Zhang, Qiao Xiang, Xin Che, Xi
Ju, Taming
Uncertainties in Real-Time Routing for Wireless Networked
Sensing and Control, IEEE
Transactions on Smart Grid (TSG), special issue on
``Smart Grid Communication Systems'', 4(1):288-301, March
2013 (A
short version appeared in ACM MobiHoc'12.) [ppt,
TinyOS
code]
-
Qiao Xiang, Hongwei Zhang,
Jinhong Xu, Xiaohui Liu, Loren J. Rittle, When
In-Network Processing Meets Time: Complexity and Effects
of Joint Optimization in Wireless Sensor Networks, IEEE
Transactions on Mobile Computing (TMC), 10(10), pp.
1488-1502, October 2011 (A short version
appeared in IEEE
RTSS
2009) [ppt,
TinyOS
code]
-
Wenfeng Du, Zhong Ming, Wei Nie, Hongwei Zhang, A Remainder-Based Contention Avoidance Scheme
for Saturated Wireless CSMA Networks, IEEE Transactions on Vehicular Technology (TVT),
62(2):772-782, February 2013
-
Xi Ju, Hongwei Zhang, Divya Sakamuri, NetEye:
A User-Centered Wireless Sensor Network Testbed for
High-Fidelity, Robust Experimentation, International Journal of Communication Systems
(Wiley), 25(9):1213-1229, September 2012
Broader Impacts
(Selected):
- PI
Zhang has led the establishment of the cyber-physical
systems (CPS) graduate program in the College of
Engineering, Wayne State University, and the program has
been officially approved by the university and will launch
in fall 2017. Besides Wayne State University, the program is
highly supported by industry partners such as Ford, GM,
Lear, Magna, ODVA, and Automation of Things.
- PI
Zhang has created and taught the new course ``CSC 5260/ECE
5260: Introduction to Cyber-Physical Systems" in winter 2017
that focuses on introducing the technology foundations of
cyber-physical systems to graduate students and senior
undergraduate students. This course examines a wide range of
topics including modeling, design, analysis, and
implementation of cyber-physical systems, dynamic behavior
modeling, state machine composition, concurrent computation,
sensors and actuators, embedded systems and networks,
feedback control systems, analysis and verification
techniques, temporal logic, and model checking. The course
helps prepare graduate and senior undergraduate students for
pursuing advanced topics in areas such as connected and
autonomous vehicles, Industry 4.0, Internet of Things (IoT),
and smart and connected health.
- PI Zhang has created a research seminar course (i.e., ``CSC
8260: Wireless Networking and Cyber-Physical Systems'') in
winter 2012 that focuses on wireless networked sensing and
control in cyber-physical systems (CPS). This seminar course
examines a wide range of topics including CPS applications
(e.g.,smart energy grid, transportation system, healthcare),
fundamentals of wireless communication (e.g., wireless channel,
signal propagation, modulation, link models), wireless
networking in a local region (e.g., MAC), large scale wireless
networking (e.g., routing, transport), and real-time wireless
networking, predictable wireless networking in an uncertain
world (e.g., wireless system and environmental dynamics,
jamming), and wireless networked control. The course helps
prepare students for innovative development and research in
wireless networked sensing and control and cyber-physical
systems in general.
- PI Zhang has created a new, regular undergraduate computer
networking course ``CSC 4290: Introduction to Computer
Networking'', and he has introduced latest results on wireless
networking and wireless networked sensing and control to the
course. The new research directions and results have attracted
great interest from the students, and they have served as topics
for group discuss and creative brainstorming.
- Using the NetEye sensor network testbed NetEye, PI
Zhang and his students have demonstrated wireless sensor
networking and wireless networked sensing and control to the
broad community:
- Visitors from the Automation of Things LLC, Lear
Corporation, Next Energy, Princeton University, 2015-2016
- Prospective undergraduate students, weekly since 2015
- U.S.A. White House and NIST Presidential Innovation Fellows,
February 20, 2014
- College students from Shanghai University, China, July 19,
2013
- K-12 students from Metro Detroit, ``GO-Computing:
Gaining Options Through Computing'' event, December 15, 2012
- Faculty and students from the medical school, the biomedical
engineering department, and the technology transfer office of
the PI's university, March and April 2013
- PI
Zhang has been actively training Ph.D. students involved in
the project, through regular research group meetings as well
as individual meetings and discussions.
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