RASS: A Real-Time, Accurate, and Scalable System for Tracking Transceiver-Free Objects.
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| Title: | RASS: A Real-Time, Accurate, and Scalable System for Tracking Transceiver-Free Objects. |
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| Authors: | Zhang, Dian1, Liu, Yunhuai2, Guo, Xiaonan3, Ni, Lionel M.4 |
| Source: | IEEE Transactions on Parallel & Distributed Systems. May2013, Vol. 24 Issue 5, p996-1008. 13p. |
| Subjects: | Radio transmitter-receivers, Object monitors (Computer software), Wireless sensor nodes, Wireless sensor networks, Tracking control systems, Real-time control, Ubiquitous computing, Accuracy |
| Abstract: | Transceiver-free object tracking is to trace a moving object that does not carry any communication device in an environment with some monitoring nodes predeployed. 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 1 m by just using three nodes in a triangle area with 4 m in each side. The experiments show that the tracking latency of the proposed RASS system is bounded by only about 0.26 m. Our system scales well to a large deployment field without sacrificing the latency and accuracy. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Parallel & Distributed Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 86919980 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: RASS: A Real-Time, Accurate, and Scalable System for Tracking Transceiver-Free Objects. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Dian%22">Zhang, Dian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Liu%2C+Yunhuai%22">Liu, Yunhuai</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Guo%2C+Xiaonan%22">Guo, Xiaonan</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Ni%2C+Lionel+M%2E%22">Ni, Lionel M.</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Parallel+%26+Distributed+Systems%22">IEEE Transactions on Parallel & Distributed Systems</searchLink>. May2013, Vol. 24 Issue 5, p996-1008. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Radio+transmitter-receivers%22">Radio transmitter-receivers</searchLink><br /><searchLink fieldCode="DE" term="%22Object+monitors+%28Computer+software%29%22">Object monitors (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+sensor+nodes%22">Wireless sensor nodes</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Tracking+control+systems%22">Tracking control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+control%22">Real-time control</searchLink><br /><searchLink fieldCode="DE" term="%22Ubiquitous+computing%22">Ubiquitous computing</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Transceiver-free object tracking is to trace a moving object that does not carry any communication device in an environment with some monitoring nodes predeployed. 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 1 m by just using three nodes in a triangle area with 4 m in each side. The experiments show that the tracking latency of the proposed RASS system is bounded by only about 0.26 m. Our system scales well to a large deployment field without sacrificing the latency and accuracy. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Parallel & Distributed Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TPDS.2012.134 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 996 Subjects: – SubjectFull: Radio transmitter-receivers Type: general – SubjectFull: Object monitors (Computer software) Type: general – SubjectFull: Wireless sensor nodes Type: general – SubjectFull: Wireless sensor networks Type: general – SubjectFull: Tracking control systems Type: general – SubjectFull: Real-time control Type: general – SubjectFull: Ubiquitous computing Type: general – SubjectFull: Accuracy Type: general Titles: – TitleFull: RASS: A Real-Time, Accurate, and Scalable System for Tracking Transceiver-Free Objects. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Dian – PersonEntity: Name: NameFull: Liu, Yunhuai – PersonEntity: Name: NameFull: Guo, Xiaonan – PersonEntity: Name: NameFull: Ni, Lionel M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 10459219 Numbering: – Type: volume Value: 24 – Type: issue Value: 5 Titles: – TitleFull: IEEE Transactions on Parallel & Distributed Systems Type: main |
| ResultId | 1 |