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Conference Paper: Signal processing techniques for synchronization of wireless sensor networks
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TitleSignal processing techniques for synchronization of wireless sensor networks
 
AuthorsLee, J2
Wu, YC1
Chaudhari, Q3
Qaraqe, K2
Serpedin, E2
 
KeywordsClock Synchronization
Wireless Sensor Networks
 
Issue Date2010
 
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
 
CitationProceedings Of Spie - The International Society For Optical Engineering, 2010, v. 7821 [How to Cite?]
DOI: http://dx.doi.org/10.1117/12.881595
 
AbstractClock synchronization is a critical component in wireless sensor networks, as it provides a common time frame to different nodes. It supports functions such as fusing voice and video data from different sensor nodes, time-based channel sharing, and sleep wake-up scheduling, etc. Early studies on clock synchronization for wireless sensor networks mainly focus on protocol design. However, clock synchronization problem is inherently related to parameter estimation, and recently, studies of clock synchronization from the signal processing viewpoint started to emerge. In this article, a survey of latest advances on clock synchronization is provided by adopting a signal processing viewpoint. We demonstrate that many existing and intuitive clock synchronization protocols can be interpreted by common statistical signal processing methods. Furthermore, the use of advanced signal processing techniques for deriving optimal clock synchronization algorithms under challenging scenarios will be illustrated. © 2010 SPIE.
 
ISSN0277-786X
2012 SCImago Journal Rankings: 0.216
 
DOIhttp://dx.doi.org/10.1117/12.881595
 
ISI Accession Number IDWOS:000287803900001
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorLee, J
 
dc.contributor.authorWu, YC
 
dc.contributor.authorChaudhari, Q
 
dc.contributor.authorQaraqe, K
 
dc.contributor.authorSerpedin, E
 
dc.date.accessioned2012-08-08T09:00:50Z
 
dc.date.available2012-08-08T09:00:50Z
 
dc.date.issued2010
 
dc.description.abstractClock synchronization is a critical component in wireless sensor networks, as it provides a common time frame to different nodes. It supports functions such as fusing voice and video data from different sensor nodes, time-based channel sharing, and sleep wake-up scheduling, etc. Early studies on clock synchronization for wireless sensor networks mainly focus on protocol design. However, clock synchronization problem is inherently related to parameter estimation, and recently, studies of clock synchronization from the signal processing viewpoint started to emerge. In this article, a survey of latest advances on clock synchronization is provided by adopting a signal processing viewpoint. We demonstrate that many existing and intuitive clock synchronization protocols can be interpreted by common statistical signal processing methods. Furthermore, the use of advanced signal processing techniques for deriving optimal clock synchronization algorithms under challenging scenarios will be illustrated. © 2010 SPIE.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 2010, v. 7821 [How to Cite?]
DOI: http://dx.doi.org/10.1117/12.881595
 
dc.identifier.doihttp://dx.doi.org/10.1117/12.881595
 
dc.identifier.isiWOS:000287803900001
 
dc.identifier.issn0277-786X
2012 SCImago Journal Rankings: 0.216
 
dc.identifier.scopuseid_2-s2.0-78751530165
 
dc.identifier.urihttp://hdl.handle.net/10722/158681
 
dc.identifier.volume7821
 
dc.languageeng
 
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
 
dc.publisher.placeUnited States
 
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineering
 
dc.relation.referencesReferences in Scopus
 
dc.subjectClock Synchronization
 
dc.subjectWireless Sensor Networks
 
dc.titleSignal processing techniques for synchronization of wireless sensor networks
 
dc.typeConference_Paper
 
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Author Affiliations
  1. The University of Hong Kong
  2. Texas A and M University
  3. Quaid-i-Azam University