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A novel approch to multi-sensor data synchronisation using mobile phones
KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).ORCID iD: 0000-0003-1668-9896
KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).
KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701).
2013 (English)In: International Journal of Autonomous and Adaptive Communications Systems, ISSN 1754-8632, E-ISSN 1754-8640, Vol. 6, no 3, 289-303 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a new algorithm for application layer synchronisation of data from multiple sensors arriving to a mobile phone's Bluetooth interface. A system that provides feedback signals to an athlete is one example where it is crucial to synchronise data from several wireless sensors. This paper also discusses synchronisation problems caused by unpredictable Bluetooth transmission performance. 

Place, publisher, year, edition, pages
2013. Vol. 6, no 3, 289-303 p.
Keyword [en]
Bluetooth, Data fusion, Mobile phone, Multi-sensor data synchronisation, Wireless sensor networks
National Category
Communication Systems Medical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-123180DOI: 10.1504/IJAACS.2013.054830Scopus ID: 2-s2.0-84879560840OAI: oai:DiVA.org:kth-123180DiVA: diva2:625197
Note

QC 20130605

Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2017-12-06Bibliographically approved
In thesis
1. Multi-Sensor Data Synchronization using Mobile Phones
Open this publication in new window or tab >>Multi-Sensor Data Synchronization using Mobile Phones
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Body sensor networking is a rapidly growing technology. Today wearable sensors are used to measure and monitor e.g. pulse, temperature, skin conductance, heart activity, and movement (through GPS or inertial measurement units). Mobile phones can act as coordinating nodes in wireless personal area networks used in home automation, healthcare, sport and wellness e.g. to measure pulse and distance. Integration of data from multiple sources sensors (data fusion) means that data from each sensor node needs to be associated with data from other sensor nodes sampled at approximately the same time. Accurate methods for time synchronization are therefore a necessary prerequisite for reliable data fusion.

This thesis studies time synchronization problems in Bluetooth piconets between multiple wireless sensor nodes connected to a mobile phone that acts as coordinating node. Three different algorithms to enable correct data fusion have been developed, implemented and evaluated. The first is a single clock solution that synchronizes multiple wireless sensor nodes based solely on the mobile phone’s clock. The other two algorithms synchronize the clocks in sensor nodes to the clock in the coordinating node. 

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. 17 p.
Series
Trita-STH : report, ISSN 1653-3836 ; 2013:5
Keyword
wireless body sensor networks, wireless personal area network, sport technology, Bluetooth performance, time synchronization, data fusion, mobile phone application.
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-123222 (URN)978-91-7501-780-8 (ISBN)
Presentation
2013-06-12, LH3-515, Alfred Nobels allé 10, Huddinge, 14:15 (English)
Opponent
Supervisors
Note

QC 20130605

Available from: 2013-06-05 Created: 2013-06-04 Last updated: 2013-06-05Bibliographically approved

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