TY - GEN
T1 - Activating Wireless Voice for E-Toll Collection Systems with Zero Start-up Cost
AU - An, Zhenlin
AU - Lin, Qiongzheng
AU - Yang, Lei
AU - Lei, Xie
N1 - Funding Information:
The research is supported by NSFC General Program (NO. 61972331), NSFC General Program (NO. 61902331), NSFC Key Program (NO. 61932017) and UGC/ECS (NO. 25222917). The research of Lei Xie is supported by National Natural Science Foundation of China (NO. 61872174, 61832008). Thanks for my recently deceased brother-in-law Qiang Wang who helped with car experiment.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - This work enhances the machine-to-human communication between electronic toll collection (ETC) systems and drivers by providing an AM broadcast service to deployed ETC systems. This study is the first to show that ultra-high radio frequency identification signals can be received by an AM radio receiver due to the presence of the nonlinearity effect in the AM receiver. Such a phenomenon allows the development of a previously infeasible cross-technology and cross-frequency communication, called Tagcaster, which converts an ETC reader to an AM station for broadcasting short messages (e.g., charged- fees and traffic forecast) to drivers at tollbooths. The key innovation in this work is the engineering of Tagcaster over off-the-shelf ETC systems using shadow carrier and baseband whitening without the need for hardware nor firmware changes. This feature allows zero-cost rapid deployment in existing ETC infrastructure. Two prototypes of Tagcaster are designed, implemented and evaluated over four general and five vehicle-mounted AM receivers (e.g., Toyota, Audi, and Jetta). Experiments reveal that Tagcaster can provide good-quality (PESQ> 2) and stable AM broadcasting service with a @30 m coverage range. Tagcaster remarkably improves user experience at ETC stations and two- thirds volunteer drivers rate it with a score of 4+ out of 5.
AB - This work enhances the machine-to-human communication between electronic toll collection (ETC) systems and drivers by providing an AM broadcast service to deployed ETC systems. This study is the first to show that ultra-high radio frequency identification signals can be received by an AM radio receiver due to the presence of the nonlinearity effect in the AM receiver. Such a phenomenon allows the development of a previously infeasible cross-technology and cross-frequency communication, called Tagcaster, which converts an ETC reader to an AM station for broadcasting short messages (e.g., charged- fees and traffic forecast) to drivers at tollbooths. The key innovation in this work is the engineering of Tagcaster over off-the-shelf ETC systems using shadow carrier and baseband whitening without the need for hardware nor firmware changes. This feature allows zero-cost rapid deployment in existing ETC infrastructure. Two prototypes of Tagcaster are designed, implemented and evaluated over four general and five vehicle-mounted AM receivers (e.g., Toyota, Audi, and Jetta). Experiments reveal that Tagcaster can provide good-quality (PESQ> 2) and stable AM broadcasting service with a @30 m coverage range. Tagcaster remarkably improves user experience at ETC stations and two- thirds volunteer drivers rate it with a score of 4+ out of 5.
KW - Cross Technology Communication
KW - Internet of Things
KW - RFID
UR - http://www.scopus.com/inward/record.url?scp=85090268575&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM41043.2020.9155223
DO - 10.1109/INFOCOM41043.2020.9155223
M3 - Conference article published in proceeding or book
AN - SCOPUS:85090268575
T3 - Proceedings - IEEE INFOCOM
SP - 1004
EP - 1013
BT - INFOCOM 2020 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th IEEE Conference on Computer Communications, INFOCOM 2020
Y2 - 6 July 2020 through 9 July 2020
ER -