RASS : a real-time, accurate and scalable system for tracking transceiver-free objects

Dian ZHANG*, Yunhuai LIU, Lionel M. NI

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

65 Citations (Scopus)

Abstract

Transceiver-free object tracking is to trace a moving object without carrying any communication device in an environment where the environment is pre-deployed with some monitoring nodes. Among all the tracking technologies, RF-based technology is an emerging research field facing many challenges. Although we proposed the original idea, until now there is no method achieving scalability without sacrificing latency and accuracy. In this paper, we put forward a real-time tracking system RASS, which can achieve this goal and is promising in the applications like the safeguard system. Our basic idea is to divide the tracking field into different areas, with adjacent areas using different communication channels. So the interference among different areas can be prevented. For each area, three communicating nodes are deployed on the ceiling as a regular triangle to monitor this area. In each triangle area, we use a Support Vector Regression (SVR) model to locate the object. This model simulates the relationship between the signal dynamics caused by the object and the object position. It not only considers the ideal case of signal dynamics caused by the object, but also utilizes their irregular information. As a result it can reach the tracking accuracy to around 1m by just using three nodes in a triangle area with 4m in each side. The experiments show that the tracking latency of the proposed RASS system is bounded by only about 0.26s. Our system scales well to a large deployment field without sacrificing the latency and accuracy.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Pervasive Computing and Communications, PerCom 2011
Place of PublicationPiscataway
PublisherIEEE
Pages197-204
Number of pages8
ISBN (Print)9781424495290
DOIs
Publication statusPublished - 8 Jun 2011
Externally publishedYes
Event9th IEEE International Conference on Pervasive Computing and Communications, PerCom 2011 - Seattle, WA, United States
Duration: 21 Mar 201125 Mar 2011

Conference

Conference9th IEEE International Conference on Pervasive Computing and Communications, PerCom 2011
CountryUnited States
CitySeattle, WA
Period21/03/1125/03/11

Fingerprint

Electronic circuit tracking
Transceivers
Ceilings
Scalability
Monitoring
Communication
Experiments

Cite this

ZHANG, D., LIU, Y., & NI, L. M. (2011). RASS : a real-time, accurate and scalable system for tracking transceiver-free objects. In 2011 IEEE International Conference on Pervasive Computing and Communications, PerCom 2011 (pp. 197-204). [5767585] Piscataway: IEEE. https://doi.org/10.1109/PERCOM.2011.5767585
ZHANG, Dian ; LIU, Yunhuai ; NI, Lionel M. / RASS : a real-time, accurate and scalable system for tracking transceiver-free objects. 2011 IEEE International Conference on Pervasive Computing and Communications, PerCom 2011. Piscataway : IEEE, 2011. pp. 197-204
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ZHANG, D, LIU, Y & NI, LM 2011, RASS : a real-time, accurate and scalable system for tracking transceiver-free objects. in 2011 IEEE International Conference on Pervasive Computing and Communications, PerCom 2011., 5767585, IEEE, Piscataway, pp. 197-204, 9th IEEE International Conference on Pervasive Computing and Communications, PerCom 2011, Seattle, WA, United States, 21/03/11. https://doi.org/10.1109/PERCOM.2011.5767585

RASS : a real-time, accurate and scalable system for tracking transceiver-free objects. / ZHANG, Dian; LIU, Yunhuai; NI, Lionel M.

2011 IEEE International Conference on Pervasive Computing and Communications, PerCom 2011. Piscataway : IEEE, 2011. p. 197-204 5767585.

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

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ZHANG D, LIU Y, NI LM. RASS : a real-time, accurate and scalable system for tracking transceiver-free objects. In 2011 IEEE International Conference on Pervasive Computing and Communications, PerCom 2011. Piscataway: IEEE. 2011. p. 197-204. 5767585 https://doi.org/10.1109/PERCOM.2011.5767585