Characterization of near-ground radio propagation channel for wireless sensor network with application in smart agriculture

View/ Open
Date
2017Version
Acceso abierto / Sarbide irekia
xmlui.dri2xhtml.METS-1.0.item-type
Contribución a congreso / Biltzarrerako ekarpena
Version
Versión publicada / Argitaratu den bertsioa
Impact
|
10.3390//ecsa-4-04922
Abstract
In this contribution, we present a narrowband radio channel model for a scenario wherein
the radio link operates under near-ground conditions, occurring on a ZigBee wireless sensor
networks applied to smart agriculture. A near-ground network deployment can be useful to avoid
tall antenna masts, or once crops grow. Among the examined scenarios, we analyzed path loss
caused when placing sensor ...
[++]
In this contribution, we present a narrowband radio channel model for a scenario wherein
the radio link operates under near-ground conditions, occurring on a ZigBee wireless sensor
networks applied to smart agriculture. A near-ground network deployment can be useful to avoid
tall antenna masts, or once crops grow. Among the examined scenarios, we analyzed path loss
caused when placing sensor nodes in soil, short and tall grass fields. We measured the received
power when locating both transmitter and receiver antennas at two different heights. The path loss
was then estimated as dependent of the radio link range. In another scenario, RSSI were obtained
to analyze the communication quality between sensor nodes using same antennas heights as the
previous scenarios, only for the case of a short grass field. [--]
Subject
Publisher
MDPI
Published in
Proceedings 2018, 2 (3), 110
Description
Trabajo presentado al 4th International Electronic Conference on Sensors and Applications (ECSA 2017),
15–30 November 2017; Available online: https://sciforum.net/conference/ecsa-4.
Departament
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónica /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko eta Elektronikoa Saila
Publisher version
Sponsorship
This research is supported by the Xunta de Galicia Predoctoral research grants 2017.