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Evaluating Bluetooth Low Energy for IoT

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dc.contributor.authorFurst, Jonathan-
dc.contributor.authorChen, Kaifei-
dc.contributor.authorKim, Hyung-Sin-
dc.contributor.authorBonnet, Philippe-
dc.date.accessioned2024-05-17T07:36:59Z-
dc.date.available2024-05-17T07:36:59Z-
dc.date.created2024-05-17-
dc.date.issued2018-
dc.identifier.citation2018 1ST IEEE WORKSHOP ON BENCHMARKING CYBER-PHYSICAL NETWORKS AND SYSTEMS (CPSBENCH 2018), pp.1-6-
dc.identifier.urihttps://hdl.handle.net/10371/203159-
dc.description.abstractBluetooth Low Energy (BLE) is the short-range, single-hop protocol of choice for the edge of the IoT. Despite its growing significance for phone-to-peripheral communication, BLE's smartphone system performance characteristics are not well understood. As others, we experienced mixed erratic performance results in our BLE based smartphone-centric applications. In these applications, developers can only access low-level functionalities through multiple layers of OS and hardware abstractions. We propose an experimental framework for such systems, with which we perform experiments on a variety of modern smartphones. Our evaluation characterizes existing devices and gives new insight about peripheral parameters settings. We show that BLE performances vary significantly in non-trivial ways, depending on SoC and OS with a vast impact on applications.-
dc.language영어-
dc.publisherIEEE-
dc.titleEvaluating Bluetooth Low Energy for IoT-
dc.typeArticle-
dc.identifier.doi10.1109/CPSBench.2018.00007-
dc.citation.journaltitle2018 1ST IEEE WORKSHOP ON BENCHMARKING CYBER-PHYSICAL NETWORKS AND SYSTEMS (CPSBENCH 2018)-
dc.identifier.wosid000502323700001-
dc.identifier.scopusid2-s2.0-85052494477-
dc.citation.endpage6-
dc.citation.startpage1-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Hyung-Sin-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
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  • Graduate School of Data Science
Research Area Distributed machine learning, Edge, Mobile AI

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