AI Article Synopsis
- A narrowband radio channel model is developed for wireless sensor networks in rural smart agriculture, focusing on near-ground conditions with measurements taken at 0.2 m and 0.4 m heights.
- Three frequency ranges relevant to future 5G-IoT applications (868 MHz, 2.4 GHz, and 5.8 GHz) and various ground coverings (soil, short grass, and tall grass) are tested to assess path loss and signal quality under different scenarios.
- The study employs a three-slope log-normal path loss model and evaluates link quality with Zigbee sensors, analyzing Quality of Service through bit error rates of different digital modulations, demonstrating effective performance even with obstructions.
Article Abstract
In this contribution, a narrowband radio channel model is proposed for rural scenarios in which the radio link operates under near-ground conditions for application in wireless sensor networks dedicated to smart agriculture. The received power attenuation was measured for both transmitter and receiver antennas placed at two different heights above ground: 0.2 and 0.4 m. Three frequency ranges, proposed for future 5G-IoT use case in agriculture, were chosen: 868 MHz, 2.4 GHz and 5.8 GHz. Three ground coverings were tested in a rural scenario: soil, short and tall grass fields. The path loss was then estimated as dependent of the radio link range and a three-slope log-normal path loss model was tailored. Results are explained in terms of the first Fresnel zone obstruction. Commercial Zigbee sensor nodes operating at 2.4 GHz were used in a second experiment to estimate the link quality from the experimental Radio Signal Strength Indicator (RSSI) received values. Two sensor nodes were placed at the same elevation above ground as in the previous experiment, only for short grass field case. The Quality of Service performance was determined in terms of theoretical bit error rate achieved for different digital modulations-BPSK, 8PSK and 16QAM-concluding remarkable results for an obstructed radio link.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111734 | PMC |
| http://dx.doi.org/10.3390/s18082428 | DOI Listing |
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