Internet of animals: characterization of LoRa sub-GHz off-body wireless channel in dairy barns

Said Benaissa, David Plets, Emmeric Tanghe, Jens Trogh, Luc Martens, Leen Vandaele, Leen Verloock, Frank Tuyttens, Bart Sonck, Wout Joseph

Onderzoeksoutput: Bijdrage aan tijdschriftA1: Web of Science-artikel

Uittreksel

Advances in wireless sensor technologies and micro-electro-mechanical
systems (MEMS) have made it possible to automatically monitor the
health status of dairy cows using internet-of-things (IoT) and wireless
body area networks (WBANs). Since on-cow measuring devices are
energy-constrained, a proper characterization of the off-body wireless
channel between the on-cow sensor nodes and the back-end base station
is required for an optimized deployment of these networks in barns. In
this letter, the LoRa (long range) off-body wireless channel has been
characterized at 868 MHz, a typical IoT frequency. Both path loss and
temporal fading were investigated using LoRa motes. Based on this
characterization, network planning and energy consumption
optimization of the on-body nodes could be performed, which enables
the deployment of reliable dairy cow monitoring systems.
TaalEngels
TijdschriftElectronics Letters
Aantal pagina's2
ISSN0013-5194
DOI's
StatusGepubliceerd - 24-jul-2017

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