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Download fileA propagation study of LoRa P2P links for IoT applications: The case of near-surface measurements over semitropical rivers
journal contribution
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 GengInternet 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)
Engineering and Physical Sciences Research Council
Find out more...National Autonomous University of Mexico [Grant Number Ref. UNAM 49547-2363-12-IX-17]
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
SensorsVolume
21Issue
20Publisher
MDPIVersion
- VoR (Version of Record)
Rights holder
© The authorsPublisher 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
2021-10-12Publication date
2021-10-16Copyright date
2021eISSN
1424-8220Publisher version
Language
- en