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.

Highlights

  • Wireless Sensor Network (WSN) technology is based on collecting data from sensor nodes, which communicate between each other and between them and the gateway, which transmit the data through internet for storage, analysis and processing [1,2]

  • In the past few years, the WSN has emerged into the research field of agriculture, and it is a candidate application for the use cases proposed for Internet of Things in the fifth generation (5G) of wireless mobile communications [8]

  • Using commercial sensor nodes dedicated to smart agriculture, Radio Signal Strength Indicator (RSSI) values were recorded in order toobserve observethethe impact of short the short field under near ground conditions

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Summary

Introduction

Wireless Sensor Network (WSN) technology is based on collecting data from sensor nodes, which communicate between each other and between them and the gateway, which transmit the data through internet for storage, analysis and processing [1,2]. It has attracting applications in a variety of fields such as health care [3,4], means of land transport [5,6], machine surveillance, military uses and others [7]. Some agriculture related parameters, such as soil temperature, soil moisture, CO2 , PH value and soil nutrients, could be monitored in real-time and controlled by wireless sensor

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