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

doi:10.1049/el.2017.1344

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

Dier

Onderzoeksoutput: Bijdrage aan tijdschrift › A1: Web of Science-artikel › peer review

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.

Oorspronkelijke taal	Engels
Tijdschrift	Electronics Letters
Aantal pagina’s	2
ISSN	0013-5194
DOI's	https://doi.org/10.1049/el.2017.1344
Publicatiestatus	Gepubliceerd - 24-jul.-2017

Toegang verkrijgen tot document

10.1049/el.2017.1344

Dit citeren

@article{974d2a08a35e4b6a9d749ba262e3767c,

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

abstract = "Advances in wireless sensor technologies and micro-electro-mechanicalsystems (MEMS) have made it possible to automatically monitor thehealth status of dairy cows using internet-of-things (IoT) and wirelessbody area networks (WBANs). Since on-cow measuring devices areenergy-constrained, a proper characterization of the off-body wirelesschannel between the on-cow sensor nodes and the back-end base stationis required for an optimized deployment of these networks in barns. Inthis letter, the LoRa (long range) off-body wireless channel has beencharacterized at 868 MHz, a typical IoT frequency. Both path loss andtemporal fading were investigated using LoRa motes. Based on thischaracterization, network planning and energy consumptionoptimization of the on-body nodes could be performed, which enablesthe deployment of reliable dairy cow monitoring systems. ",

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

year = "2017",

month = jul,

day = "24",

doi = "10.1049/el.2017.1344",

language = "English",

journal = "Electronics Letters ",

issn = "0013-5194",

publisher = "IET - The Institute of Engineering and Technology",

}

TY - JOUR

T1 - Internet of animals: characterization of LoRa sub-GHz off-body wireless channel in dairy barns

AU - Benaissa, Said

AU - Plets, David

AU - Tanghe, Emmeric

AU - Trogh, Jens

AU - Martens, Luc

AU - Vandaele, Leen

AU - Verloock, Leen

AU - Tuyttens, Frank

AU - Sonck, Bart

AU - Joseph, Wout

PY - 2017/7/24

Y1 - 2017/7/24

N2 - Advances in wireless sensor technologies and micro-electro-mechanicalsystems (MEMS) have made it possible to automatically monitor thehealth status of dairy cows using internet-of-things (IoT) and wirelessbody area networks (WBANs). Since on-cow measuring devices areenergy-constrained, a proper characterization of the off-body wirelesschannel between the on-cow sensor nodes and the back-end base stationis required for an optimized deployment of these networks in barns. Inthis letter, the LoRa (long range) off-body wireless channel has beencharacterized at 868 MHz, a typical IoT frequency. Both path loss andtemporal fading were investigated using LoRa motes. Based on thischaracterization, network planning and energy consumptionoptimization of the on-body nodes could be performed, which enablesthe deployment of reliable dairy cow monitoring systems.

AB - Advances in wireless sensor technologies and micro-electro-mechanicalsystems (MEMS) have made it possible to automatically monitor thehealth status of dairy cows using internet-of-things (IoT) and wirelessbody area networks (WBANs). Since on-cow measuring devices areenergy-constrained, a proper characterization of the off-body wirelesschannel between the on-cow sensor nodes and the back-end base stationis required for an optimized deployment of these networks in barns. Inthis letter, the LoRa (long range) off-body wireless channel has beencharacterized at 868 MHz, a typical IoT frequency. Both path loss andtemporal fading were investigated using LoRa motes. Based on thischaracterization, network planning and energy consumptionoptimization of the on-body nodes could be performed, which enablesthe deployment of reliable dairy cow monitoring systems.

U2 - 10.1049/el.2017.1344

DO - 10.1049/el.2017.1344

M3 - A1: Web of Science-article

SN - 0013-5194

JO - Electronics Letters

JF - Electronics Letters

ER -

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

Uittreksel

Toegang verkrijgen tot document

Vingerafdruk

Dit citeren