Channel characterisation for wearable LoRaWAN monitors
Channel characterisation for wearable LoRaWAN monitors
- Author(s): P.A. Catherwood ; S. McComb ; M. Little ; J.A.D. McLaughlin
- DOI: 10.1049/cp.2017.0273
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Loughborough Antennas & Propagation Conference (LAPC 2017) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): P.A. Catherwood ; S. McComb ; M. Little ; J.A.D. McLaughlin Source: Loughborough Antennas & Propagation Conference (LAPC 2017), 2017 page (4 pp.)
- Conference: Loughborough Antennas & Propagation Conference (LAPC 2017)
- DOI: 10.1049/cp.2017.0273
- ISBN: 978-1-78561-699-0
- Location: Loughborough, UK
- Conference date: 13-14 Nov. 2017
- Format: PDF
This paper presents the results of a campaign to investigate the empirical characterisation and mathematic modelling of the radio channel for a body-centric LoRaWAN transceiver for various operating distances across various environments including urban, suburban, and rural. The radio channel for a wearable LoRa transceiver device was explored, as well as anechoic measurements to understand the effects of body-shadowing for this technology. Results indicate that the best fit model for all recorded received signal strength measurements (using the Akaike information criterion) is the Nakagami distribution with mu = 0.52 and Ω = 662.13. Anechoic measurements indicated typical additional effects regarding the orientation of the user with respect to the gateway location. This work highlights LoRaWAN as a credible wearable wireless technology.
Inspec keywords: statistical distributions; Nakagami channels; radio transceivers; wide area networks
Subjects: Radio links and equipment; Other topics in statistics; Computer communications; Other topics in statistics; Other computer networks
Related content
content/conferences/10.1049/cp.2017.0273
pub_keyword,iet_inspecKeyword,pub_concept
6
6