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Performance evaluation of time synchronization and clock drift compensation in wireless personal area networks
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), Centres, Centre for Technology in Medicine and Health, CTMH.
KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).
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. 153-158 p.
Keyword [en]
Time synchronization, clock drift, data fusion, Bluetooth, IEEE 802.15.4.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-123218DOI: 10.4108/icst.bodynets.2012.250342Scopus ID: 2-s2.0-84908592912ISBN: 978-193696860-2 (print)OAI: oai:DiVA.org:kth-123218DiVA: diva2:625488
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
In thesis
1. Performance Monitoring and Control in Wireless Sensor Networks
Open this publication in new window or tab >>Performance Monitoring and Control in Wireless Sensor Networks
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Wireless personal area networks have emerged as an important communication infrastructure in areas such as at-home healthcare and home automation, independent living and assistive technology, as well as sports and wellness. Wireless personal area networks, including body sensor networks, are becoming more mature and are considered to be a realistic alternative as communication infrastructure for demanding services. However, to transmit data from e.g., an ECG in wireless networks is also a challenge, especially if multiple sensors compete for access. Contention-based networks offer simplicity and utilization advantages, but the drawback is lack of predictable performance. Recipients of data sent in wireless sensor networks need to know whether they can trust the information or not. Performance measurements, monitoring and control is of crucial importance for medical and healthcare applications in wireless sensor networks.

This thesis focuses on development, prototype implementation and evaluation of a performance management system with performance and admission control for wireless sensor networks. Furthermore, an implementation of a new method to compensate for clock drift between multiple wireless sensor nodes is also shown. Errors in time synchronization between nodes in Bluetooth networks, resulting in inadequate data fusion, are also analysed.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. vi, 21 p.
Series
TRITA-STH : report, ISSN 1653-3836 ; 2012:3
Keyword
body sensor networks, wireless sensor networks, performance monitoring, performance control, admission control, Bluetooth performance, clock drift compensation, time synchronization
National Category
Medical Engineering Communication Systems
Identifiers
urn:nbn:se:kth:diva-94545 (URN)978-91-7501-354-1 (ISBN)
Presentation
2012-06-05, Sal 3-221, Alfred Nobels allé 10, Huddinge, 11:00 (English)
Opponent
Supervisors
Note

QC 20120529

Available from: 2012-05-29 Created: 2012-05-10 Last updated: 2016-02-22Bibliographically approved
2. 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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