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DeltaBin: An Efficient Binary Data Format for Low Power IoT Devices
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-4446-2181
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0003-3768-7320
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0003-4643-5651
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0003-1154-5308
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2023 (English)In: 2023 International Conference on Computer, Information and Telecommunication Systems (CITS), Genoa, Italy, 2023, Genoa, Italy: IEEE Press, 2023Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things (IoT) notion is quickly influencing t he architectures of data-driven systems d ue to the ever-increasing rapid technological progress in all sectors. The IoT involves the collection and exchange of data from a large number of interconnected devices or sensors. The collected data is structured and transmitted in a variety of different data formats such as JSON, CBOR, BSON, or simply a binary format. The data format used by an IoT device can have a significant i mpact on t he efficiency of its data transmission. In general, using a more compact and efficient data format can help to reduce t he amount of data that needs to be transmitted, which can improve the overall speed and performance of the device. For example, using a binary data format rather than a text-based format can often result in smaller data sizes and faster transmission times. Similarly, using a binary format in a more compressed form can further help to reduce the size of the data being transmitted, which can further improve the efficiency of the transmission. In this paper, we propose Delta Binary (i.e., DeltaBin) to reduce the binary data format by transmitting only changed data. We assess DeltaBin using a real IoT deployment scenario.

Place, publisher, year, edition, pages
Genoa, Italy: IEEE Press, 2023.
Keywords [en]
IoT, Data Standard, LoRa, Applied IoT
National Category
Communication Systems
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-124089DOI: 10.1109/CITS58301.2023.10188750Scopus ID: 2-s2.0-85167867323ISBN: 9798350336108 (print)ISBN: 9798350336092 (electronic)OAI: oai:DiVA.org:lnu-124089DiVA, id: diva2:1794493
Conference
2023 International Conference on Computer, Information and Telecommunication Systems (CITS), 10-12 July, Genoa, Italy
Available from: 2023-09-05 Created: 2023-09-05 Last updated: 2024-01-18Bibliographically approved

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Maleki, NedaMusaddiq, ArslanMozart, DavidOlsson, TobiasOmareen, MustafaAhlgren, Fredrik

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Maleki, NedaMusaddiq, ArslanMozart, DavidOlsson, TobiasOmareen, MustafaAhlgren, Fredrik
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