ecoSync: An Energy-Efficient Clock Discipline Data Synchronization in Wi-Fi IoMT Systems
The growth of the Internet of Medical Things (IoMT) and healthcare data analytics allows wearable Wireless Body Area Networks (WBANs) and ambient sensors to collect the large quantities of physiological signals necessary for better patient diagnostics and treatments. Artificial intelligence and mach...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/20/4226 |
| _version_ | 1797574019228106752 |
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| author | Steven Puckett Emil Jovanov |
| author_facet | Steven Puckett Emil Jovanov |
| author_sort | Steven Puckett |
| collection | DOAJ |
| description | The growth of the Internet of Medical Things (IoMT) and healthcare data analytics allows wearable Wireless Body Area Networks (WBANs) and ambient sensors to collect the large quantities of physiological signals necessary for better patient diagnostics and treatments. Artificial intelligence and machine learning algorithms frequently require precisely synchronized signals from multiple sensors, which in turn require time-consuming and energy-inefficient synchronization methods with constant wireless network connectivity. We propose ecoSync, a highly energy-efficient time synchronization algorithm for Wi-Fi devices in IoMT applications. We demonstrated that ecoSync can correct the time difference error to ±42 µs with an hour between resynchronizations, using only 658 millijoules of energy. This is an 87% improvement in time difference error and a 99.93% reduction in energy usage over using TSF for synchronization alone over a 1 h period. Wireless synchronization of sensors allows placement of physiological sensors on objects of everyday use (Smart Stuff), which in turn allows seamless collection of physiological status data every time we interact with smart objects in an IoMT environment. |
| first_indexed | 2024-03-10T21:17:16Z |
| format | Article |
| id | doaj.art-1e9ca413d4db4a36a7144d8e0acd1779 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T21:17:16Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-1e9ca413d4db4a36a7144d8e0acd17792023-11-19T16:18:37ZengMDPI AGElectronics2079-92922023-10-011220422610.3390/electronics12204226ecoSync: An Energy-Efficient Clock Discipline Data Synchronization in Wi-Fi IoMT SystemsSteven Puckett0Emil Jovanov1Sanders College of Business, University of North Alabama, Florence, AL 35632, USACollege of Engineering, University of Alabama at Huntsville, Huntsville, AL 35899, USAThe growth of the Internet of Medical Things (IoMT) and healthcare data analytics allows wearable Wireless Body Area Networks (WBANs) and ambient sensors to collect the large quantities of physiological signals necessary for better patient diagnostics and treatments. Artificial intelligence and machine learning algorithms frequently require precisely synchronized signals from multiple sensors, which in turn require time-consuming and energy-inefficient synchronization methods with constant wireless network connectivity. We propose ecoSync, a highly energy-efficient time synchronization algorithm for Wi-Fi devices in IoMT applications. We demonstrated that ecoSync can correct the time difference error to ±42 µs with an hour between resynchronizations, using only 658 millijoules of energy. This is an 87% improvement in time difference error and a 99.93% reduction in energy usage over using TSF for synchronization alone over a 1 h period. Wireless synchronization of sensors allows placement of physiological sensors on objects of everyday use (Smart Stuff), which in turn allows seamless collection of physiological status data every time we interact with smart objects in an IoMT environment.https://www.mdpi.com/2079-9292/12/20/4226IoMTsynchronizationWi-FiTSFPTPclock relation model |
| spellingShingle | Steven Puckett Emil Jovanov ecoSync: An Energy-Efficient Clock Discipline Data Synchronization in Wi-Fi IoMT Systems Electronics IoMT synchronization Wi-Fi TSF PTP clock relation model |
| title | ecoSync: An Energy-Efficient Clock Discipline Data Synchronization in Wi-Fi IoMT Systems |
| title_full | ecoSync: An Energy-Efficient Clock Discipline Data Synchronization in Wi-Fi IoMT Systems |
| title_fullStr | ecoSync: An Energy-Efficient Clock Discipline Data Synchronization in Wi-Fi IoMT Systems |
| title_full_unstemmed | ecoSync: An Energy-Efficient Clock Discipline Data Synchronization in Wi-Fi IoMT Systems |
| title_short | ecoSync: An Energy-Efficient Clock Discipline Data Synchronization in Wi-Fi IoMT Systems |
| title_sort | ecosync an energy efficient clock discipline data synchronization in wi fi iomt systems |
| topic | IoMT synchronization Wi-Fi TSF PTP clock relation model |
| url | https://www.mdpi.com/2079-9292/12/20/4226 |
| work_keys_str_mv | AT stevenpuckett ecosyncanenergyefficientclockdisciplinedatasynchronizationinwifiiomtsystems AT emiljovanov ecosyncanenergyefficientclockdisciplinedatasynchronizationinwifiiomtsystems |