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Conference Paper: Detecting the Direction of Motion in a Binary Sensor Network

TitleDetecting the Direction of Motion in a Binary Sensor Network
Authors
Issue Date2006
PublisherIEEE.
Citation
IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, Taichung, Taiwan, 5-7 June 2006. In Conference Proceedings, 2006, v. 1, p. 420-427 How to Cite?
AbstractWe examine the problem of detecting the direction of motion in a binary sensor network; in such a network each sensor’s value is supplied reliably in a single bit of information: whether the moving object is approaching towards or moving away from the sensor. We demonstrate that the geometric properties of the network itself can be exploited for the detection of movement direction, from a single instance of sensor reading only. Moreover the estimation is performed in a distributed processing fashion, with only a minimal data collection at situation-dependent leading sensors and features a low computational burden on each sensor. In addition, different detection instances drain the resources of different groups of sensors, of a small size compared to the size of the whole network. Our experiments demonstrate high accuracy that increases with sensor density and/or sensing range, while the responsiveness of the detection model is practically instantaneous.
Persistent Identifierhttp://hdl.handle.net/10722/45559
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorKarras, Pen_HK
dc.contributor.authorMamoulis, Nen_HK
dc.date.accessioned2007-10-30T06:29:09Z-
dc.date.available2007-10-30T06:29:09Z-
dc.date.issued2006en_HK
dc.identifier.citationIEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, Taichung, Taiwan, 5-7 June 2006. In Conference Proceedings, 2006, v. 1, p. 420-427en_HK
dc.identifier.isbn978-076952553-2-
dc.identifier.urihttp://hdl.handle.net/10722/45559-
dc.description.abstractWe examine the problem of detecting the direction of motion in a binary sensor network; in such a network each sensor’s value is supplied reliably in a single bit of information: whether the moving object is approaching towards or moving away from the sensor. We demonstrate that the geometric properties of the network itself can be exploited for the detection of movement direction, from a single instance of sensor reading only. Moreover the estimation is performed in a distributed processing fashion, with only a minimal data collection at situation-dependent leading sensors and features a low computational burden on each sensor. In addition, different detection instances drain the resources of different groups of sensors, of a small size compared to the size of the whole network. Our experiments demonstrate high accuracy that increases with sensor density and/or sensing range, while the responsiveness of the detection model is practically instantaneous.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing Proceedings-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.titleDetecting the Direction of Motion in a Binary Sensor Networken_HK
dc.typeConference_Paperen_HK
dc.identifier.emailMamoulis, N: nikos@cs.hku.hk-
dc.identifier.authorityMamoulis, N=rp00155-
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/SUTC.2006.1636208-
dc.identifier.scopuseid_2-s2.0-33845435931-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33845435931&selection=ref&src=s&origin=recordpage-
dc.identifier.volume1-
dc.identifier.spage420-
dc.identifier.epage427-
dc.identifier.scopusauthoridKarras, P=14028488200-
dc.identifier.scopusauthoridMamoulis, N=6701782749-
dc.customcontrol.immutablesml 160107 - merged-

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