Channel Characterisation for Wearable LoRaWAN Monitors

Philip Catherwood, Stephen McComb, Michael Little, James McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 (Long Range Wide Area Network) 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 body-shadowing effects. Results indicate that the best fit model for all recorded received signal strength measurements (using the Akaike information criterion to fit) 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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages4
Publication statusAccepted/In press - 12 Jul 2017
EventLoughborough Antennas and Propagation Conference (LAPC) - Loughborough
Duration: 12 Jul 2017 → …

Conference

ConferenceLoughborough Antennas and Propagation Conference (LAPC)
Period12/07/17 → …

Fingerprint

Wide area networks
Transceivers
Gateways (computer networks)

Keywords

  • Internet of Things
  • Healthcare
  • LoRaWAN
  • Propagation
  • wearables.

Cite this

Catherwood, P., McComb, S., Little, M., & McLaughlin, J. (Accepted/In press). Channel Characterisation for Wearable LoRaWAN Monitors. In Unknown Host Publication
Catherwood, Philip ; McComb, Stephen ; Little, Michael ; McLaughlin, James. / Channel Characterisation for Wearable LoRaWAN Monitors. Unknown Host Publication. 2017.
@inproceedings{29a19ac629374e05a14324e0fc3362db,
title = "Channel Characterisation for Wearable LoRaWAN Monitors",
abstract = "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 (Long Range Wide Area Network) 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 body-shadowing effects. Results indicate that the best fit model for all recorded received signal strength measurements (using the Akaike information criterion to fit) 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.",
keywords = "Internet of Things, Healthcare, LoRaWAN, Propagation, wearables.",
author = "Philip Catherwood and Stephen McComb and Michael Little and James McLaughlin",
note = "Dear PHILIP, Thank you for submitting your draft paper entitled {"}Channel Characterisation for Wearable LoRaWAN Monitors{"}, reference 0028 to LAPC 2017. I am pleased to inform you that your paper has been accepted for poster presentation at the conference. We would now like to invite you to prepare your corrected paper, taking into account the feedback you have received, for review by the LAPC 2017 Technical Programme Committee. Corrected paper submissions should be submitted via the same online submission system via the website by Monday 21 August. Any comments that have been made by the reviewers can be found once you log in. Final notification of acceptance after the corrected paper review will be Tuesday 29 August. Please register for the conference by Monday 18 September to confirm your participation. Registration details can be found on the conference website www.theiet.org/lapc. The programme and guidelines for posters will be available on the website in due course. Thank you for your contribution. Kind regards, LAPC 2017 organisers",
year = "2017",
month = "7",
day = "12",
language = "English",
booktitle = "Unknown Host Publication",

}

Catherwood, P, McComb, S, Little, M & McLaughlin, J 2017, Channel Characterisation for Wearable LoRaWAN Monitors. in Unknown Host Publication. Loughborough Antennas and Propagation Conference (LAPC), 12/07/17.

Channel Characterisation for Wearable LoRaWAN Monitors. / Catherwood, Philip; McComb, Stephen; Little, Michael; McLaughlin, James.

Unknown Host Publication. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Channel Characterisation for Wearable LoRaWAN Monitors

AU - Catherwood, Philip

AU - McComb, Stephen

AU - Little, Michael

AU - McLaughlin, James

N1 - Dear PHILIP, Thank you for submitting your draft paper entitled "Channel Characterisation for Wearable LoRaWAN Monitors", reference 0028 to LAPC 2017. I am pleased to inform you that your paper has been accepted for poster presentation at the conference. We would now like to invite you to prepare your corrected paper, taking into account the feedback you have received, for review by the LAPC 2017 Technical Programme Committee. Corrected paper submissions should be submitted via the same online submission system via the website by Monday 21 August. Any comments that have been made by the reviewers can be found once you log in. Final notification of acceptance after the corrected paper review will be Tuesday 29 August. Please register for the conference by Monday 18 September to confirm your participation. Registration details can be found on the conference website www.theiet.org/lapc. The programme and guidelines for posters will be available on the website in due course. Thank you for your contribution. Kind regards, LAPC 2017 organisers

PY - 2017/7/12

Y1 - 2017/7/12

N2 - 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 (Long Range Wide Area Network) 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 body-shadowing effects. Results indicate that the best fit model for all recorded received signal strength measurements (using the Akaike information criterion to fit) 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.

AB - 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 (Long Range Wide Area Network) 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 body-shadowing effects. Results indicate that the best fit model for all recorded received signal strength measurements (using the Akaike information criterion to fit) 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.

KW - Internet of Things

KW - Healthcare

KW - LoRaWAN

KW - Propagation

KW - wearables.

M3 - Conference contribution

BT - Unknown Host Publication

ER -

Catherwood P, McComb S, Little M, McLaughlin J. Channel Characterisation for Wearable LoRaWAN Monitors. In Unknown Host Publication. 2017