NeTS: Medium: New Technologies for Next-generation Infrastructural Tagged Systems
NeTS: Medium: New Technologies for Next-generation Infrastructural Tagged Systems
批准号:
1409797
负责人:
Shigang Chen
金额:
$91.49万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-01 至 2018-10-31
中文摘要
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英文摘要
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.
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Smart Cities on Wheels: A Newly Emerging Vehicular Cognitive Capability Harvesting Network for Data Transportation
车轮上的智慧城市:新兴的数据传输车辆认知能力收集网络
DOI:
10.1109/mwc.2017.1700151
发表时间:
2017
期刊:
IEEE Wireless Communications
影响因子:
12.9
作者:
[Haichuan Ding, Chi Zhang, Ying Cai, Yuguang Fang]
通讯作者:
Yuguang Fang
Missing-Tag Detection With Unknown Tags
未知标签的缺失标签检测
DOI:
10.1109/tnet.2020.2984706
发表时间:
2020
期刊:
IEEE/ACM Transactions on Networking
影响因子:
--
作者:
[Zhang, Youlin, Chen, Shigang, Zhou, You, Fang, Yuguang]
通讯作者:
Fang, Yuguang
DOI:
10.1109/tvt.2018.2803762
发表时间:
2018-02
期刊:
IEEE Transactions on Vehicular Technology
影响因子:
6.8
作者:
[Haichuan Ding;Chi Zhang;B. Lorenzo;Yuguang Fang]
通讯作者:
Haichuan Ding;Chi Zhang;B. Lorenzo;Yuguang Fang
DOI:
10.1109/jiot.2018.2841809
发表时间:
2018-12-01
期刊:
IEEE INTERNET OF THINGS JOURNAL
影响因子:
10.6
作者:
[Pang, Yawei, Ding, Haichuan, Chen, Shigang]
通讯作者:
Chen, Shigang
DOI:
10.1109/infocom.2018.8485885
发表时间:
2018-04
期刊:
IEEE INFOCOM 2018 - IEEE Conference on Computer Communications
影响因子:
--
作者:
[Youlin Zhang;Shigang Chen;You Zhou;Yuguang Fang]
通讯作者:
Youlin Zhang;Shigang Chen;You Zhou;Yuguang Fang
共 10 条
Collaborative Research: NeTS: Medium: Towards High-Performing LoRa with Embedded Intelligence on the Edge
-
批准号:2312676
-
项目类别:Standard Grant
-
资助金额:$28.22万
-
财政年份:2023
-
负责人:Shigang Chen
-
依托单位:
CNS Core: Small: Collaborative: Coalescent Computing - New Theory, Mechanism and Platform for Adaptive Edge Computing
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批准号:1909077
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项目类别:Standard Grant
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资助金额:$28.83万
-
财政年份:2019
-
负责人:Shigang Chen
-
依托单位:
NeTS: Small: Collaborative Research: Low-cost, Convenient, Non-intrusive Methods for Enabling the Internet of Things
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批准号:1718708
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项目类别:Standard Grant
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资助金额:$25.0万
-
财政年份:2017
-
负责人:Shigang Chen
-
依托单位:
NeTS: Small: Sketching Big Network Data
-
批准号:1719222
-
项目类别:Standard Grant
-
资助金额:$50.0万
-
财政年份:2017
-
负责人:Shigang Chen
-
依托单位:
NeTS:Small: Making Online Network Functions Fast and Compact
-
批准号:1115548
-
项目类别:Standard Grant
-
资助金额:$40.0万
-
财政年份:2011
-
负责人:Shigang Chen
-
依托单位:
CPS:Small: Transforming a City's Transportation Infrastructure through an Embedded Pervasive Communication Network
-
批准号:0931969
-
项目类别:Standard Grant
-
资助金额:$52.38万
-
财政年份:2009
-
负责人:Shigang Chen
-
依托单位:
NeTS-WN: New Technologies for Real-Time Wireless Mesh Networks with Transportation Applications
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批准号:0721731
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项目类别:Standard Grant
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资助金额:$10.0万
-
财政年份:2007
-
负责人:Shigang Chen
-
依托单位:
CAREER: Traffic Differentiation in Multihop Wireless Networks
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批准号:0644033
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项目类别:Continuing Grant
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资助金额:$31.37万
-
财政年份:2007
-
负责人:Shigang Chen
-
依托单位:
海外基金