Award Abstract # 1407679
Collaborative Research: Physical Dynamics Aware Coding for Communications in Cyber Physical Systems: Analysis, Algorithms and Implementation

NSF Org: ECCS
Division of Electrical, Communications and Cyber Systems
Recipient: UNIVERSITY OF TENNESSEE
Initial Amendment Date: August 19, 2014
Latest Amendment Date: May 7, 2015
Award Number: 1407679
Award Instrument: Standard Grant
Program Manager: akbar sayeed
ECCS
 Division of Electrical, Communications and Cyber Systems
ENG
 Directorate for Engineering
Start Date: September 1, 2014
End Date: August 31, 2017 (Estimated)
Total Intended Award Amount: $200,000.00
Total Awarded Amount to Date: $208,000.00
Funds Obligated to Date: FY 2014 = $200,000.00
FY 2015 = $8,000.00
History of Investigator:
  • Husheng Li (Principal Investigator)
    husheng@purdue.edu
Recipient Sponsored Research Office: University of Tennessee Knoxville
201 ANDY HOLT TOWER
KNOXVILLE
TN  US  37996-0001
(865)974-3466
Sponsor Congressional District: 02
Primary Place of Performance: University of Tennessee Knoxville
Knoxville
TN  US  37996-0001
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): FN2YCS2YAUW3
Parent UEI: LXG4F9K8YZK5
NSF Program(s): CCSS-Comms Circuits & Sens Sys
Primary Program Source: 01001415DB NSF RESEARCH & RELATED ACTIVIT
01001516DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 152E, 153E, 155E, 9150, 9251
Program Element Code(s): 756400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

In recent years, there have been substantial researches on cyber physical systems. A typical cyber physical system is composed of both physical and cyber parts. The physical part refers to the dynamics ruled by physical laws, while the cyber part (which consists of sensor(s), communication and controller(s)) observes the physical dynamics, transmits the reports, and makes control actions. Many practical applications can be considered as cyber physical systems, such as smart grids, unmanned aerial vehicles, and robotic networks. The communication part plays a key role in CPS since it conveys information from the sensor(s) to the controller(s), similarly to the nerve system of human body. When facing negative environments, source and channel coding schemes can improve the efficiency and reliability of the communication system. Traditional coding schemes are designed for pure data communications and are inefficient for controlling the physical dynamics in cyber physical systems. This project studies how to integrate the awareness of physical dynamics status into the source and channel coding procedures, which improves the performance of the operation of physical dynamics. This context awareness brings a paradigm shift to the design and analysis of cyber physical systems and benefits many future systems such as smart grids. The project is extended to education purposes, including K-12 outreach, and undergraduate/graduate level course designs. The achievements of the proposed research are disseminated to academia and industry communities.

This project analyzes and develops new coding schemes in the physical layer of communication for CPS, which imposes significantly different design requirements than that of the traditional networks. In particular, the project designs the coding schemes with the awareness of the physical dynamics characteristics, instead of separated designs of communications and controls. The first task is to designs new joint/iterative channel decoding and state estimation schemes that are aware of the inherent temporal/spatial redundancies in the physical dynamics observations. It begins from simple block codes and extends the work to complicated codes with cycles. Distributed source coding at the sensors is designed, which also takes the spatial and temporal redundancies into account. In particular, the criteria of source coding (e.g., the distortion) are made aware of the objectives of controlling the physical dynamics. The proposed source and channel coding schemes are evaluated in the context of smart grid monitoring and control. Both co-simulation software and hardware testbeds are implemented for the performance evaluation.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Chunxiao Qu, Wei Chen, Ju Bin Song and Husheng Li "Distributed Data Traffic Scheduling With Awareness of Dynamics State in Cyber Physical Systems With Application in Smart Grid" IEEE Transactions on Smart Grid , v.6 , 2016
C. Qu, W. Chen, J. B. Song, and H. Li "Distributed data traffic scheduling with awareness of dynamics state in cyber physical systems with application in smart grid" IEEE Trans. On Smart Grid , v.6 , 2015
Liang Li, Ju Bin Song and Husheng Li "Dynamic State Aware Adaptive Source Coding for Networked Control in Cyber-Physical Systems" IEEE Transactions on Vehicular Technology , v.66 , 2017
Liang Li, Shuping Gong, Ju Bin Song, Husheng Li "Performance Analysis on Joint Channel Decoding and State Estimation in Cyber-Physical Systems" EURASIP Journal on Wireless Communications and Networking , 2017
Shuping Gong, Liang Li, Ju Bin Song, Husheng Li "Joint Channel Decoding and State Estimation in Cyber-Physical Systems" IEEE Transactions on Wireless Communications , v.16 , 2017
Y. Huang, J. Tang, Y. Cheng, H. Li, K. A. Cambell and H. Zhu "Realtime detection of false data injection in smart grid networks: An adaptive CUSUM method and analysis" IEEE Systems Journal , v.10 , 2016
Yifan Wang, Lijun Qian and Husheng Li "Belief propagation and quickest detection based cooperative spectrum sensing in heterogeneous and dynamic environments" IEEE Transactions on Wireless Communications , v.16 , 2017

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Cyber physical system (CPS) consists of physical dynamics, such as the oscillation of voltages in smart grids, and cyber systems, such as sensors and communication network. The measurements on the physical dynamics, obtained by the sensors, are conveyed to controllers by the communication network, in order to stabilize or optimize the system. However, there could exist transmission errors in the communication network; moreover, due to the limited bandwidth, the communication network cannot convey infinite information bits. Therefore, the CPS needs source coding to compress the information at the sensors, and channel coding to protect the transmission from errors. In traditional data networks, such as cellular networks or Internet, the source coding and channel coding are designed independent of the contents of the information. However, in CPSs, due to the ultimate goal of operating the physical dynamics, it is desirable to make the source and channel encoders/decoders aware of the characteristics and online status of the physical dynamics. For example, the compression of information in smart grid can be made dependent of the system status (e.g., in an unstable mode or a normal one). The PIs have shown that the performance can be significantly improved, by using numerical simulations and hardware testbed. This breakthrough brings a paradigm shift to the coding design in CPSs and motivates the study on the corresponding cross-layer designs. The outcome of the project is disseminated to the community of interest via conferences, journals and invited talks. The project also endows itself to the training and professional development of graduate students. A portion of the project results is used in the development of curriculum. This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

 


Last Modified: 11/29/2017
Modified by: Husheng Li

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