A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks
Time synchronization is a topic of interest for any distributed system and it is of particular relevance in Wireless Sensor Networks (WSN), especially when it is necessary to keep a strong level of time synchronization among the data coming from different nodes, which are then employed to perform &l...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9547328/ |
_version_ | 1818399526599262208 |
---|---|
author | Giuseppe Coviello Gianfranco Avitabile Antonello Florio Claudio Talarico Janet M. Wang-Roveda |
author_facet | Giuseppe Coviello Gianfranco Avitabile Antonello Florio Claudio Talarico Janet M. Wang-Roveda |
author_sort | Giuseppe Coviello |
collection | DOAJ |
description | Time synchronization is a topic of interest for any distributed system and it is of particular relevance in Wireless Sensor Networks (WSN), especially when it is necessary to keep a strong level of time synchronization among the data coming from different nodes, which are then employed to perform <italic>a posteriori</italic> data-fusion and data-merging operations. A special case of WSN is constituted by Wireless Body Area Networks (WBAN). The paper introduces the Fractional Low-power time Synchronization Algorithm (FLSA), a lightweight and ultra-low-power time synchronization algorithm conceived for Wireless Body Area Networks. The core of the proposed approach is the fractional-time concept, borrowed from Phase-Locked Loops theory, that allows achieving fine timer corrections. Moreover, an heuristic routine managing the on/off switching of the radio section of the device allows to dramatically decrease the power consumption. The mathematical discussion, along with a set of experiments is presented, proving the benefits associated with the proposed algorithm. |
first_indexed | 2024-12-14T07:22:05Z |
format | Article |
id | doaj.art-54153ff0f448475e8ffcb1e7846ec3c3 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-14T07:22:05Z |
publishDate | 2021-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-54153ff0f448475e8ffcb1e7846ec3c32022-12-21T23:11:36ZengIEEEIEEE Access2169-35362021-01-01913491613492810.1109/ACCESS.2021.31154409547328A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area NetworksGiuseppe Coviello0https://orcid.org/0000-0001-5255-2913Gianfranco Avitabile1https://orcid.org/0000-0002-9529-486XAntonello Florio2https://orcid.org/0000-0003-1947-9421Claudio Talarico3https://orcid.org/0000-0003-2498-9813Janet M. Wang-Roveda4Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, ItalyDepartment of Electrical and Information Engineering, Polytechnic University of Bari, Bari, ItalyDepartment of Electrical and Information Engineering, Polytechnic University of Bari, Bari, ItalyDepartment of Electrical and Computer Engineering, Gonzaga University, Spokane, WA, USADepartment of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, USATime synchronization is a topic of interest for any distributed system and it is of particular relevance in Wireless Sensor Networks (WSN), especially when it is necessary to keep a strong level of time synchronization among the data coming from different nodes, which are then employed to perform <italic>a posteriori</italic> data-fusion and data-merging operations. A special case of WSN is constituted by Wireless Body Area Networks (WBAN). The paper introduces the Fractional Low-power time Synchronization Algorithm (FLSA), a lightweight and ultra-low-power time synchronization algorithm conceived for Wireless Body Area Networks. The core of the proposed approach is the fractional-time concept, borrowed from Phase-Locked Loops theory, that allows achieving fine timer corrections. Moreover, an heuristic routine managing the on/off switching of the radio section of the device allows to dramatically decrease the power consumption. The mathematical discussion, along with a set of experiments is presented, proving the benefits associated with the proposed algorithm.https://ieeexplore.ieee.org/document/9547328/Wireless body area networkswireless sensor networkstime disseminationtime synchronizationwireless application protocol |
spellingShingle | Giuseppe Coviello Gianfranco Avitabile Antonello Florio Claudio Talarico Janet M. Wang-Roveda A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks IEEE Access Wireless body area networks wireless sensor networks time dissemination time synchronization wireless application protocol |
title | A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks |
title_full | A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks |
title_fullStr | A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks |
title_full_unstemmed | A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks |
title_short | A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks |
title_sort | novel low power time synchronization algorithm based on a fractional approach for wireless body area networks |
topic | Wireless body area networks wireless sensor networks time dissemination time synchronization wireless application protocol |
url | https://ieeexplore.ieee.org/document/9547328/ |
work_keys_str_mv | AT giuseppecoviello anovellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks AT gianfrancoavitabile anovellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks AT antonelloflorio anovellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks AT claudiotalarico anovellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks AT janetmwangroveda anovellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks AT giuseppecoviello novellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks AT gianfrancoavitabile novellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks AT antonelloflorio novellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks AT claudiotalarico novellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks AT janetmwangroveda novellowpowertimesynchronizationalgorithmbasedonafractionalapproachforwirelessbodyareanetworks |