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Conference Paper: Shifted gamma distribution and long-range prediction of round trip timedelay for internet-based teleoperation

TitleShifted gamma distribution and long-range prediction of round trip timedelay for internet-based teleoperation
Authors
KeywordsPrediction
Sparse multivariate linear regressive models
Shift-Gamma distribution
Round- Trip-Timedelay(RTT)
Teleoperation
Long-range autocorrelation
Issue Date2008
Citation
2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008, 2008, p. 1261-1266 How to Cite?
AbstractFor Internet based real-time teleoperation systems, unknown and variable time delay can cause instability in the closed loop control system and hence hinder task accomplishment. According to requirement of Internet-based teleoperation, exact prediction of RTT can improve greatly performance of the teleoperation system. In this paper, statistical properties of the Round Trip Timedelay (RTT) are investigated and we construct a sparse multivariate linear regressive (SMLR) model for the RTT processes based on experimental results that indicate: 1) RTT along a certain path in the Internet can be modeled by a shifted Gamma distribution and 2) RTT between two fixed Internet assess points has long-range autocorrelation. This model can predict exactly the next RTT to improve the performance of the Internet-based teleoperation system. Results of simulation demonstrate the effectiveness of the proposed model. © 2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213065

 

DC FieldValueLanguage
dc.contributor.authorWang, DanChen-
dc.contributor.authorFu, Xiuhui-
dc.contributor.authorDing, Wei-
dc.contributor.authorLi, Hongyi-
dc.contributor.authorXi, Ning-
dc.contributor.authorWang, Yuechao-
dc.date.accessioned2015-07-28T04:06:01Z-
dc.date.available2015-07-28T04:06:01Z-
dc.date.issued2008-
dc.identifier.citation2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008, 2008, p. 1261-1266-
dc.identifier.urihttp://hdl.handle.net/10722/213065-
dc.description.abstractFor Internet based real-time teleoperation systems, unknown and variable time delay can cause instability in the closed loop control system and hence hinder task accomplishment. According to requirement of Internet-based teleoperation, exact prediction of RTT can improve greatly performance of the teleoperation system. In this paper, statistical properties of the Round Trip Timedelay (RTT) are investigated and we construct a sparse multivariate linear regressive (SMLR) model for the RTT processes based on experimental results that indicate: 1) RTT along a certain path in the Internet can be modeled by a shifted Gamma distribution and 2) RTT between two fixed Internet assess points has long-range autocorrelation. This model can predict exactly the next RTT to improve the performance of the Internet-based teleoperation system. Results of simulation demonstrate the effectiveness of the proposed model. © 2008 IEEE.-
dc.languageeng-
dc.relation.ispartof2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008-
dc.subjectPrediction-
dc.subjectSparse multivariate linear regressive models-
dc.subjectShift-Gamma distribution-
dc.subjectRound- Trip-Timedelay(RTT)-
dc.subjectTeleoperation-
dc.subjectLong-range autocorrelation-
dc.titleShifted gamma distribution and long-range prediction of round trip timedelay for internet-based teleoperation-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ROBIO.2009.4913181-
dc.identifier.scopuseid_2-s2.0-70349189048-
dc.identifier.spage1261-
dc.identifier.epage1266-

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