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Evaluation of the IoT LoRaWAN Solution for Distributed Measurement Applications
University of Brescia, Brescia, Italy.
University of Brescia, Brescia, Italy.
University of Brescia, Brescia, Italy.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. University of Brescia, Brescia, Italy.
2017 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 66, no 12, p. 3340-3349, article id 8036410Article in journal (Refereed) Published
Abstract [en]

Internet of Things (IoT) is based on data collection, where billions of sensors sample the real world; in other words, the IoT includes a giant distributed measurement system (DMS). A question still requiring an answer is: Are the IoT technologies usable to enhance traditional measurement systems, since they have been developed for a very similar objective? In this paper, the use of a long-range (LoRa) technology, originally developed for IoT, is investigated with the aim of implementing DMSs. After the conclusion that LoRa and LoRa wide area network architectures show a good match with measurement systems, this paper focuses on the characterization of time-related performance indicators that are important for distributed systems. The experimental results show the capability of low-cost transceiver to schedule the transmission of frames with a standard uncertainty less than 3 μs; and an acceptable long-term clock stability (Allan Deviation) of commercial available devices (nodes and packet forwarders) for application such as smart metering, smart building, and process industry. 

Place, publisher, year, edition, pages
2017. Vol. 66, no 12, p. 3340-3349, article id 8036410
Keyword [en]
Chirp spread spectrum (CSS), distributed measurement systems (DMMs), Internet of Things (IoT), long-range wide area network (LoRaWAN), wireless sensor networks
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-33321DOI: 10.1109/TIM.2017.2746378ISI: 000415112700024Scopus ID: 2-s2.0-85030313704OAI: oai:DiVA.org:miun-33321DiVA, id: diva2:1192252
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved

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Sisinni, Emiliano

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