Stammdaten

Titel: Allocation of Repetition Redundancy in LoRa
Untertitel:
Kurzfassung:

We consider a multipoint-to-point network in which sensors periodically send measurements to a gateway. The system uses Long Range (LoRa) communications in a frequency band with duty-cycle limits. Our aim is to enhance the reliability of the measurement transmissions. In this setting, retransmission protocols do not scale well with the number of sensors as the duty cycle limit prevents a gateway from acknowledging all receptions if there are many sensors. We thus intend to improve the reliability without acknowledgments by transmitting multiple copies of a measurement, so that the gateway is able to obtain this measurement as long as it receives at least one copy. Each frame includes the current and a few past measurements. We propose a strategy for redundancy allocation that takes into account the effects of fading and interference to determine the number of measurements to be included in a frame. Numerical results obtained using the simulation tool LoRaSim show that the allocation of redundancy provides up to six orders of magnitude decrease in the outage probability. Compared to a system that blindly allocates the maximum redundancy possible under duty-cycle and delay constraints of the gateway and memory constraints of the sensors, our technique provides up to 30% reduction in the average energy spent to successfully deliver a measurement to the gateway.

Schlagworte: LoRa, sensor network, multipoint-to-point,repetition redundancy, reliability
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 04.05.2019 (Online)
Erschienen in: European Wireless 2019
European Wireless 2019
zur Publikation
 ( VDE Verband der Elektrotechnik Elektronik Informationstechnik e.V. ; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 61 - 66

Versionen

Keine Version vorhanden
Erscheinungsdatum: 04.05.2019
ISBN (e-book):
  • 978-3-8007-4948-5
eISSN: -
DOI: -
Homepage: https://ieeexplore.ieee.org/document/8835940
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Österreich
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 202022 - Informationstechnik
  • 202038 - Telekommunikation
  • 202040 - Übertragungstechnik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Mobile Systems Group

Kooperationen

Organisation Adresse
Lakeside Labs GmbH
Lakeside Science & Technology Park
9020 Klagenfurt
Österreich - Kärnten
Lakeside Science & Technology Park
AT - 9020  Klagenfurt

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