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https://doi.org/10.1109/cpsben...
Article . 2018 . Peer-reviewed
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Evaluating Bluetooth Low Energy for IoT

Authors: Jonathan Fürst; Kaifei Chen; Hyung-Sin Kim; Philippe Bonnet;

Evaluating Bluetooth Low Energy for IoT

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.

Country
Denmark
Keywords

IoT, BLE smartphone system performance characteristics, mixed erratic performance results, mobile computing, Internet of Things, Wireless communication, Benchmark, BLE performances, low-level functionalities, Smart phones, Hardware, Wireless fidelity, Evaluation, peripheral parameters settings, phone-to-peripheral communication, Benchmark testing, BLE based smartphone-centric applications, Bluetooth, Androids, smart phones, 004, hardware abstractions, Smartphones, modern smartphones, BLE, Bluetooth Low Energy

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
Green