{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T21:07:40Z","timestamp":1775250460795,"version":"3.50.1"},"reference-count":48,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2018,10,13]],"date-time":"2018-10-13T00:00:00Z","timestamp":1539388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper describes the design and calibration of a highly accurate temperature measurement system for pervasive computing applications. A negative temperature coefficient (NTC) thermistor with high resistance tolerance is interfaced through a conditioning circuit to a 12-bit digital converter of a wireless microcontroller. The system is calibrated to minimize the effect of component uncertainties and achieves an accuracy of \u00b10.03 \u00b0C on average (\u00b10.05 \u00b0C in worst cases) in a 5 \u00b0C to 45 \u00b0C range. The calibration process is based on a continuous temperature sweep, while calibration data are simultaneously logged to reduce the delays and cost of conventional calibration approaches. An uncertainty analysis is performed to support the validity of the reported performance results. The described approach for interfacing the thermistor to the hardware platform can be straightforwardly adjusted for different thermistors, temperature ranges\/accuracy levels\/resolutions, and voltage ranges. The low power communication combined with the energy consumption optimization adopted enable an operation to be autonomic for several months to years depending on the application\u2019s measurement frequency requirements. The system cost is approximately $45 USD in components, while its design and compact size allow its integration with extended monitoring systems in various pervasive computing environments. The system has been thoroughly tested and validated in a field trial concerning a precision agriculture application and is currently used in a health monitoring application.<\/jats:p>","DOI":"10.3390\/s18103445","type":"journal-article","created":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T03:43:01Z","timestamp":1539574981000},"page":"3445","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["A High Precision, Wireless Temperature Measurement System for Pervasive Computing Applications"],"prefix":"10.3390","volume":"18","author":[{"given":"Christos","family":"Goumopoulos","sequence":"first","affiliation":[{"name":"Information &amp; Communication Systems Engineering Department, University of the Aegean, 83200 Samos, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2018,10,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6869","DOI":"10.3390\/s90906869","article-title":"An overview on wireless sensor networks technology and evolution","volume":"9","author":"Buratti","year":"2009","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1016\/j.procs.2016.04.160","article-title":"Temperature forecasts with stable accuracy in a smart home","volume":"83","author":"Spencer","year":"2016","journal-title":"Procedia Comput. 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