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Improving the Reliability of Bluetooth Low Energy Connections

Spörk, Michael and Classen, Jiska and Boano, Carlo Alberto and Hollick, Matthias and Römer, Kay (2020):
Improving the Reliability of Bluetooth Low Energy Connections.
In: Embedded Wireless Systems and Networks (EWSN), Lyon, France, 17.02.-19.02.2020, ISBN 978-0-9949886-4-5,
[Online-Edition: https://ewsn2020.conf.citi-lab.fr/papers.html#demos],
[Conference or Workshop Item]

Abstract

o sustain a reliable data exchange, applications based on Bluetooth Low Energy (BLE) need to effectively blacklist channels and adapt the physical mode of an active connection at runtime. Although the BLE specification foresees the use of these two mechanisms, their implementation is left up to the radio vendors and has not been studied in detail yet. This paper fills this gap: we first investigate experimentally how to assess the quality of a BLE connection at runtime using information gathered from the radio. We then show how this information can be used to promptly blacklist poor channels and select a physical mode that sustains a high link-layer reliability while minimizing power consumption. We implement both mechanisms on two popular platforms and show experimentally that they allow to significantly improve the reliability of BLE connections, with a reduction in packet loss by up to 22 % compared to existing solutions.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Spörk, Michael and Classen, Jiska and Boano, Carlo Alberto and Hollick, Matthias and Römer, Kay
Title: Improving the Reliability of Bluetooth Low Energy Connections
Language: English
Abstract:

o sustain a reliable data exchange, applications based on Bluetooth Low Energy (BLE) need to effectively blacklist channels and adapt the physical mode of an active connection at runtime. Although the BLE specification foresees the use of these two mechanisms, their implementation is left up to the radio vendors and has not been studied in detail yet. This paper fills this gap: we first investigate experimentally how to assess the quality of a BLE connection at runtime using information gathered from the radio. We then show how this information can be used to promptly blacklist poor channels and select a physical mode that sustains a high link-layer reliability while minimizing power consumption. We implement both mechanisms on two popular platforms and show experimentally that they allow to significantly improve the reliability of BLE connections, with a reduction in packet loss by up to 22 % compared to existing solutions.

ISBN: 978-0-9949886-4-5
Uncontrolled Keywords: emergenCITY_KOM
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Sichere Mobile Netze
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology > Subproject A3: Migration
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C1: Network-centred perspective
Event Title: Embedded Wireless Systems and Networks (EWSN)
Event Location: Lyon, France
Event Dates: 17.02.-19.02.2020
Date Deposited: 22 Apr 2020 08:02
Official URL: https://ewsn2020.conf.citi-lab.fr/papers.html#demos
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