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A propagation study of LoRa P2P links for IoT applications: The case of near-surface measurements over semitropical rivers

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posted on 2022-12-09, 13:56 authored by Amado Gutiérrez-Gómez, Víctor Rangel, Robert EdwardsRobert Edwards, John Davis, Raúl Aquino, Jesús López-De la Cruz, Oliver Mendoza-Cano, Miguel Lopez-Guerrero, Yu Geng
Internet of Things (IoT) radio networks are becoming popular in several scenarios for short-range applications (e.g., wearables and home security) and medium-range applications (e.g., shipping container tracking and autonomous farming). They have also been proposed for water monitoring in flood warning systems. IoT communications may use long range (LoRa) radios working in the 915 MHz industrial, scientific and medical (ISM) band. In this research, we study the propagation characteristics of LoRa chirp radio signals close to and over water in a tropical meadow region. We use as a case study the Colima River in Mexico. We develop a novel point-to-point IoT measurement sounding system that does not require decoding of LoRa propriety bursts and provides accurate power versus distance profiles along the riparian zone of a steeply dropping mountain river. We used this system to obtain the measurements reported in this work, which are also analyzed and modeled. The results show that the LoRa signal propagation over water exhibits a log-normal distribution. As a result of the chirp signal processing, two new experimental path loss models are presented. The path loss results show a considerable degradation of the received signal power over water within vegetation and less signal degradation at antenna heights closer to the water surface.

Funding

Flood Prediction using real time sensing Emergency Water Information Networks over mobile phone networks and WiFi (EWIN)

Department for Business, Energy and Industrial Strategy

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National Autonomous University of Mexico [Grant Number Ref. UNAM 49547-2363-12-IX-17]

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Sensors

Volume

21

Issue

20

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This article is an Open Access article published by MDPI and distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Acceptance date

2021-10-12

Publication date

2021-10-16

Copyright date

2021

eISSN

1424-8220

Language

  • en

Depositor

Dr Robert Edwards. Deposit date: 8 December 2022

Article number

6872

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