Award Abstract # 1409797
NeTS: Medium: New Technologies for Next-generation Infrastructural Tagged Systems

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF FLORIDA
Initial Amendment Date: July 29, 2014
Latest Amendment Date: June 7, 2017
Award Number: 1409797
Award Instrument: Continuing Grant
Program Manager: Monisha Ghosh
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: August 1, 2014
End Date: October 31, 2018 (Estimated)
Total Intended Award Amount: $914,934.00
Total Awarded Amount to Date: $914,934.00
Funds Obligated to Date: FY 2014 = $257,311.00
FY 2015 = $263,726.00

FY 2016 = $228,562.00

FY 2017 = $165,335.00
History of Investigator:
  • Shigang Chen (Principal Investigator)
    sgchen@ufl.edu
  • Yuguang Fang (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Florida
1523 UNION RD RM 207
GAINESVILLE
FL  US  32611-1941
(352)392-3516
Sponsor Congressional District: 03
Primary Place of Performance: University of Florida
Gainesville
FL  US  32611-2002
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): NNFQH1JAPEP3
Parent UEI:
NSF Program(s): Networking Technology and Syst
Primary Program Source: 01001415DB NSF RESEARCH & RELATED ACTIVIT
01001516DB NSF RESEARCH & RELATED ACTIVIT

01001617DB NSF RESEARCH & RELATED ACTIVIT

01001718DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7924
Program Element Code(s): 736300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Barcode systems have brought a revolution in the retail industry by speeding up the checkout process with a laser scanner that reads the product ID from barcode printed on each item and retrieves its price automatically from a database. However, there is a serious limiting factor: barcodes can only be read in a very close range with direct sight, which makes it impossible to batch-access objects that are piled on store racks or in shopping carts. RFID (radio-frequency identification) technologies remove this limitation by integrating simple communication/storage/computation capacities in attachable tags, whose IDs can be read wirelessly over a distance, even when obstacles exist between tags and the RFID reader. Today, RFID tags are ubiquitously available in retail products, library books, debit cards, passports, driver licenses, car plates, medical devices, etc. The current application model treats tags simply as ID carriers and deals with each tag individually for the purpose of identifying the object that the tag is attached to, which may be a vehicle passing through a toll booth, a wild animal under monitoring, a luggage being transported in an airport, or a commercial product through the chain of manufacturing, assembly and shipping. Going beyond the current model, the uniqueness of this project is to change the traditional individual view to a collective view that treats universally-deployed tags together as a new wireless infrastructure, on which novel applications can be developed for large-scale automated warehouse management, cyber-physical data collection, sophisticated inventory control, and even transportation traffic monitoring on the streets of a city. Such a new wireless platform can be further enhanced by integrating miniaturized sensors into tags for real-time information collection, by exploiting the mobility of tags, by supporting security functions, etc. These developments will greatly expand not only the scope of applications but also fundamental research into the next-generation infrastructural tagged systems. The proposed research has the potential of making significant practical impact, given the wide applicability of tag technologies in industries and customer markets. Moreover, as part of the project, new educational materials will be developed to timely incorporate research results into graduate courses.

The research activities include the following: First, this project makes the case that a small number of carefully-chosen tag primitives have the potential of not only solving some existing problems much more efficiently, but also handling many open problems that have not been studied before. In particular, three fundamental primitives, called logical mixmap, tag ordering and tag selection, will be thoroughly investigated with the objective of producing generic tags that are simple yet versatile in their ability to support different application needs. Second, while most prior work focuses on optimizing time efficiency, this project brings in a new dimension, application-level energy efficiency, for systems that use tags with internal power sources. The proposed research will design energy-efficient solutions and provide means to control energy-time tradeoff. Finally, should tags be pervasively deployed, people's privacy would become a serious concern. Next-generation tags will help improve the quality of people's lives, but meanwhile can reveal location if people carry them in their pockets or by their cars. To address such concerns, this project will study privacy-preserving information collection and authentication in future tagged systems. In summary, the results from this project will advance our understanding of tagged system design in terms of versatility, energy efficiency and privacy protection. The expected outcome includes a set of fundamental primitives (designs, analysis, evaluation, and implementation) that together provide optimized solutions for a large number of interesting applications.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 42)
Ding, Haichuan and Guo, Yuanxiong and Li, Xuanheng and Fang, Yuguang "Beef Up the Edge: Spectrum-Aware Placement of Edge Computing Services for the Internet of Things" IEEE Transactions on Mobile Computing , 2019 10.1109/TMC.2018.2883952 Citation Details
Ding, Haichuan and Zhang, Chi and Cai, Ying and Fang, Yuguang "Smart Cities on Wheels: A Newly Emerging Vehicular Cognitive Capability Harvesting Network for Data Transportation" IEEE Wireless Communications , v.25 , 2018 10.1109/MWC.2017.1700151 Citation Details
Ding, Haichuan and Zhang, Chi and Lorenzo, Beatriz and Fang, Yuguang "Access Point Recruitment in a Vehicular Cognitive Capability Harvesting Network: How Much Data Can Be Uploaded?" IEEE Transactions on Vehicular Technology , v.67 , 2018 10.1109/TVT.2018.2803762 Citation Details
Feng, Bing and Zhang, Chi and Liu, Jianqing and Fang, Yuguang "D2D Communications Assisted Traffic Offloading in Integrated Cellular-WiFi Networks" IEEE Internet of Things Journal , 2019 10.1109/JIOT.2019.2922550 Citation Details
Feng, Bing and Zhang, Chi and Liu, Jianqing and Fang, Yuguang "Turning Waste into Wealth: Free Control Message Transmissions in Indoor WiFi Networks" IEEE Transactions on Mobile Computing , 2019 10.1109/TMC.2019.2924000 Citation Details
He Huang, Yu-e Sun, Shigang Chen, Hongli Xu, Yian Zhou "Persistent Traffic Measurement Through Vehicle-to-Infrastructure Communications" Proc. of IEEE International Conference on Distributed Computing Systems (ICDCS) , 2018
H. Yue and C. Zhang and M. Pan and Y. Fang and S. Chen "{Unknown-target Information Collection Protocol in Sensor-enabled RFID Systems}" IEEE/ACM Transactions on Networking , v.22 , 2014 , p.1164--117
Jia Liu, Bin Xiao, Min Chen, Feng Zhu, Shigang Chen, Lijun Chen "Efficient RFID Grouping Protocols" IEEE/ACM Transactions on Networking , v.24 , 2016 , p.3177
Jia Liu, Shigang Chen, Bin Xiao, Yanyan Wang, Lijun Chen "Category Information Collection in RFID Systems" Proceedings of IEEE International Conference on Distributed Computing Systems , 2016
Jia Liu, Youlin Zhang, Min Chen, Shigang Chen, Lijun Chen "Collision-resistant Communication Model for Stateless Networked Tags, 2-page poster paper" in Proc. of IEEE International Conference on Network Protocols (ICNP , 2016
Jianqing Liu, Haichuan Ding, Ying Cai, Hao Yue, Yuguang Fang, Shigang Chen "An Energy-Efficient Strategy for Secondary Users in Cooperative Cognitive Radio Networks for Green Communications" IEEE Journal on Selected Areas in Communications , v.34 , 2016 , p.3195
(Showing: 1 - 10 of 42)

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.

Since half a century ago, barcode systems have brought a revolution in the retail industry by speeding up the checkout process with a laser scanner that reads the product ID from barcode printed on each item and retrieves its price automatically from a database. However, there is a serious limiting factor: barcode can only be read in a very close range with direct sight, which makes it impossible to batch-access objects that are piled on store racks or in shopping carts. RFID (radio-frequency identification) technologies remove this limitation by integrating simple communication/storage/computation capacities in attachable tags, whose IDs can be read wirelessly over a distance, even when obstacles exist between tags and the RFID reader. Today, RFID tags are becoming ubiquitously available as they make their way into retail products, library books, debit cards, passports, driver licenses, car plates, medical devices, etc. The current application model treats tags simply as ID carriers and deals with each tag individually for the purpose of identifying the object that the tag is attached to, which may be a vehicle passing through a toll booth, a wild animal under monitoring, a luggage being transported in an airport, or a commercial product through the chain of manufacturing, assembly and shipping. Going beyond the current model, the uniqueness of this project is to change the traditional individual view to a collective view that treats universally-deployed tags together as a new wireless infrastructure, on which novel applications can be developed for large-scale automated warehouse management, cyber-physical data collection, sophisticated inventory control, and even transportation traffic monitoring on the streets of a city. Such a new wireless platform can be further enhanced by integrating miniaturized sensors into tags for real-time information collection, by exploiting the mobility of tags, by supporting security functions, etc. These developments will greatly expand not only the scope of applications but also fundamental research into the next-generation infrastructural tagged systems.

This project investigates new technologies for infrastructural tagged systems through integrated fundamental research, application development, and experimental study. Its outcomes are summarized as follows.

First, the project takes a holistic approach to investigate various research problems emerged from infrastructural tagged systems, identify their intrinsic connections, and abstract their solutions into a small set of well-defined fundamental primitive functions, which not only solve some existing problems more efficiently, but also address other open problems that have not been studied before. The research outcome includes a series of fundamental primitive designs for logical mixmap, tag ordering, tag selection, tag search and information collection, which together create new ways of implementing generic tags that are simple yet versatile in their ability to support different application needs.

Second, most existing RFID research focuses on improving time efficiency. This is fine for short-range passive tags. An infrastructural system often needs to cover a large area. In this case, battery-powered active tags are preferred for longer transmission ranges and richer on-tag hardware. Energy efficiency becomes a primary concern because it determines the tags' lifetime before they have to be recharged. To this end, the outcome from this project includes the design of several energy-time-efficient RFID solutions and new methods for controlling the tradeoff between an application's execution time and its energy cost.  

Third, should tags be pervasively deployed, people's privacy would become a serious concern. Next-generation tags will help improve the quality of people's lives, but meanwhile will they betray location privacy if people carry them in their pockets or by their cars? To address such concern, this project studies privacy-preserving information collection and authentication in future tagged systems. The research outcome includes privacy-preserving communication designs for collecting data from tags without giving up the tag identifiers.  

Future tag technologies are expected to bring a revolutionary change not only to retail industry and supply-chain management, but also to people's daily lives, as tags are increasingly used in everyday products. Although passive tags have already been widely adopted, the next breakthrough for a broader application scope will require new ideas of tag design, new approaches of system development, and new ways of using tags. By contributing to the technical foundation of infrastructural tagged systems, the research outcomes form this project point out novel paths of designing RFID systems with practical significance, given the wide applicability of tag technologies in industries and customer markets. New educational materials have been developed from the results of this project and were taught in classes. Thirty-three journal/conference papers have been published to disseminate the research results.  

 


Last Modified: 02/28/2019
Modified by: Shigang Chen

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