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Evaluating Bluetooth Low Energy for IoT

Cited 9 time in Web of Science Cited 15 time in Scopus
Authors

Furst, Jonathan; Chen, Kaifei; Kim, Hyung-Sin; Bonnet, Philippe

Issue Date
2018
Publisher
IEEE
Citation
2018 1ST IEEE WORKSHOP ON BENCHMARKING CYBER-PHYSICAL NETWORKS AND SYSTEMS (CPSBENCH 2018), pp.1-6
Abstract
Bluetooth 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.
URI
https://hdl.handle.net/10371/203159
DOI
https://doi.org/10.1109/CPSBench.2018.00007
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  • Graduate School of Data Science
Research Area Distributed machine learning, Edge, Mobile AI

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