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Multi-Sensor Data Synchronization using Mobile Phones
KTH, School of Technology and Health (STH), Data- och elektroteknik.ORCID iD: 0000-0003-1668-9896
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 [en]
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: urn:nbn:se:kth:diva-123222ISBN: 978-91-7501-780-8 (print)OAI: oai:DiVA.org:kth-123222DiVA: diva2:625501
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
List of papers
1. A novel approch to multi-sensor data synchronisation using mobile phones
Open this publication in new window or tab >>A novel approch to multi-sensor data synchronisation using mobile phones
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. 

Keyword
Bluetooth, Data fusion, Mobile phone, Multi-sensor data synchronisation, Wireless sensor networks
National Category
Communication Systems Medical Engineering
Identifiers
urn:nbn:se:kth:diva-123180 (URN)10.1504/IJAACS.2013.054830 (DOI)2-s2.0-84879560840 (Scopus ID)
Note

QC 20130605

Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2017-12-06Bibliographically approved
2. Local Time Synchronization in Bluetooth Piconets for Data Fusion Using Mobile Phones
Open this publication in new window or tab >>Local Time Synchronization in Bluetooth Piconets for Data Fusion Using Mobile Phones
2011 (English)In: BSN 2011: 8th International Conference on Body Sensor Networks, 2011, 113-138 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method to synchronize the clocks in a Bluetooth piconet from the application layer in a mobile phone. It adapts algorithms for time synchronization of distributed systems and the Internet to Bluetooth networks. The performance issues that cause problems for data synchronization between master and slaves in Bluetooth are highlighted. The tests show that the synchronization error is limited to one sampling time.

National Category
Medical Laboratory and Measurements Technologies
Identifiers
urn:nbn:se:kth:diva-84244 (URN)10.1109/BSN.2011.11 (DOI)2-s2.0-80051983426 (Scopus ID)978-0-7695-4431-1 (ISBN)
Conference
8th International Conference on Body Sensor Networks, BSN 2011. Dallas, TX. 23 May 2011 - 25 May 2011
Note

QC 20120214

Available from: 2012-02-13 Created: 2012-02-13 Last updated: 2016-02-22Bibliographically approved
3. Performance evaluation of time synchronization and clock drift compensation in wireless personal area networks
Open this publication in new window or tab >>Performance evaluation of time synchronization and clock drift compensation in wireless personal area networks
2012 (English)In: BodyNets '12 Proceedings of the 7th International Conference on Body Area Networks, ICST , 2012, 153-158 p.Conference paper, Published paper (Refereed)
Abstract [en]

Efficient algorithms for time synchronization, including compensation for clock drift, are essential in order to obtain reliable fusion of data samples from multiple wireless sensor nodes. This paper evaluates the performance of algorithms based on three different approaches; one that synchronizes the local clocks on the sensor nodes, and a second that uses a single clock on the receiving node (e.g. a mobile phone), and a third that uses broadcast messages. The performances of the synchronization algorithms are evaluated in wireless personal area networks, especially Bluetooth piconets and ZigBee/IEEE 802.15.4 networks. A new approach for compensation of clock drift and a realtime implementation of single node synchronization from the mobile phone are presented and tested. Finally, applications of data fusion and time synchronization are shown in two different use cases; a kayaking sports case, and monitoring of heart and respiration of prematurely born infants. 

Place, publisher, year, edition, pages
ICST, 2012
Keyword
Time synchronization, clock drift, data fusion, Bluetooth, IEEE 802.15.4.
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-123218 (URN)10.4108/icst.bodynets.2012.250342 (DOI)2-s2.0-84908592912 (Scopus ID)978-193696860-2 (ISBN)
Conference
7th International Conference on Body Area Networks, BODYNETS 2012, Oslo, Norway, 24 September 2012 through 26 September 2012
Note

QC 20130605

Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2016-02-22Bibliographically approved
4. ExecutiveSummary of AugmentIT: A Smart Phone App that generates kinematic feedback based on augmented reality data e.g. vidoeo and IMU (or other sensor) data
Open this publication in new window or tab >>ExecutiveSummary of AugmentIT: A Smart Phone App that generates kinematic feedback based on augmented reality data e.g. vidoeo and IMU (or other sensor) data
2012 (English)Other (Other (popular science, discussion, etc.))
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-123219 (URN)
Note

QC 20130605

Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2016-11-24Bibliographically approved

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