A Novel Low-Power Time Synchronization Algorithm based on a Fractional Approach for Wireless Body Area Networks
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Affiliation
Department of Electrical and Computer Engineering, University of ArizonaIssue Date
2021Keywords
Body area networksClocks
Protocols
Sensors
Synchronization
Time Dissemination
Time Synchronization
Wireless application protocol
Wireless Body Area Networks
Wireless communication
Wireless Sensor Networks
Wireless sensor networks
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Coviello, G., Avitabile, G., Florio, A., Talarico, C., & Roveda, J. (2021). A Novel Low-Power Time Synchronization Algorithm based on a Fractional Approach for Wireless Body Area Networks. IEEE Access.Journal
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Copyright © 2021 The Author(s).This work is licensed under a Creative Commons Attribution 4.0 License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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 a posteriori 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. AuthorNote
Open access journalISSN
2169-3536Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1109/ACCESS.2021.3115440
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Except where otherwise noted, this item's license is described as Copyright © 2021 The Author(s).This work is licensed under a Creative Commons Attribution 4.0 License.

