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A LoRa-based Wireless Sensor Network monitoring system for urban areas subjected to landslide

Authors:

Mattia Ragnoli,

Paolo Esposito,

Vincenzo Stornelli,

Gianluca Barile,

Elena De Santis,

Nicola SciarraAuthors Info & Claims

CCIOT '23: Proceedings of the 2023 8th International Conference on Cloud Computing and Internet of Things

Pages 91 - 97

https://doi.org/10.1145/3627345.3627359

Published: 04 December 2023 Publication History

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Abstract

Landslides are hazards triggered from natural factors such as geomorphology and climatic phenomena. The impacts of these events are not negligible in terms of both economic and social impacts, therefore the topic of remote monitoring structural health monitoring has become important for geologic applications. Nowadays several technologies are evolving and allowing new structures for sensor networks. Among these, Wireless Sensor Networks (WSNs) represent a particularly well suited solution thanks to the flexibility that these structures offer. In this paper, an urban monitoring system based on WSN is presented. It is aimed to monitor the structural health of housings located on a hillside where a land movement happens. The inclination of the buildings must be monitored for safety purposes in order to enable preventive maintenance, and an evacuation plan. The network is composed of Long Range (LoRa) based sensor nodes arranged in a star topology with respect to a central gateway. The network access is provided using LoRaWAN Media Access Layer (MAC). The system is based on an Internet Of Things (IoT) structure, allowing the access to data and reports trough an online platform. The paper reports a system description of hardware and functionality of all the devices, a description of the remote monitoring web section, a power analysis, radio coverage analysis, and real scenario data.

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Cited By

Ragnoli MBarile GLeoni ARicci SStornelli V(2025)Energy-Optimized Monitoring System for Underground Cave Environments Based on Long Preamble LoRaIEEE Access10.1109/ACCESS.2025.353854413(24717-24735)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2025.3538544
De Rubeis TCiccozzi ARagnoli MStornelli VBrusaporci STata AAmbrosini D(2024)A Workflow for a Building Information Modeling-Based Thermo-Hygrometric Digital Twin: An Experimentation in an Existing BuildingSustainability10.3390/su16231028116:23(10281)Online publication date: 24-Nov-2024
https://doi.org/10.3390/su162310281
Binetti MMassarelli CUricchio V(2024)Machine Learning in Geosciences: A Review of Complex Environmental Monitoring ApplicationsMachine Learning and Knowledge Extraction10.3390/make60200596:2(1263-1280)Online publication date: 5-Jun-2024
https://doi.org/10.3390/make6020059
Show More Cited By

Index Terms

A LoRa-based Wireless Sensor Network monitoring system for urban areas subjected to landslide
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Sensor networks

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cover image ACM Other conferences

CCIOT '23: Proceedings of the 2023 8th International Conference on Cloud Computing and Internet of Things

September 2023

170 pages

ISBN:9798400708046

DOI:10.1145/3627345

Copyright © 2023 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 December 2023

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CCIOT 2023

CCIOT 2023: 2023 8th International Conference on Cloud Computing and Internet of Things

September 22 - 24, 2023

Okinawa, Japan

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Cited By

Ragnoli MBarile GLeoni ARicci SStornelli V(2025)Energy-Optimized Monitoring System for Underground Cave Environments Based on Long Preamble LoRaIEEE Access10.1109/ACCESS.2025.353854413(24717-24735)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2025.3538544
De Rubeis TCiccozzi ARagnoli MStornelli VBrusaporci STata AAmbrosini D(2024)A Workflow for a Building Information Modeling-Based Thermo-Hygrometric Digital Twin: An Experimentation in an Existing BuildingSustainability10.3390/su16231028116:23(10281)Online publication date: 24-Nov-2024
https://doi.org/10.3390/su162310281
Binetti MMassarelli CUricchio V(2024)Machine Learning in Geosciences: A Review of Complex Environmental Monitoring ApplicationsMachine Learning and Knowledge Extraction10.3390/make60200596:2(1263-1280)Online publication date: 5-Jun-2024
https://doi.org/10.3390/make6020059
Wang KWang KRen Y(2024)Time-Allocation Adaptive Data Rate: An Innovative Time-Managed Algorithm for Enhanced Long-Range Wide-Area Network PerformanceElectronics10.3390/electronics1302043413:2(434)Online publication date: 20-Jan-2024
https://doi.org/10.3390/electronics13020434
Ragnoli MEsposito PSciarra NFerri GStornelli V(2024)Landslide monitoring system for inhabited areas: a case study in Central Italy2024 IEEE Sensors Applications Symposium (SAS)10.1109/SAS60918.2024.10636441(1-5)Online publication date: 23-Jul-2024
https://doi.org/10.1109/SAS60918.2024.10636441
Esposito PFerri GStornelli V(2024)Monitoring Systems for a Volcanic Area Subjected to Rockfall: Case Study in the Island of Ischia2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN)10.1109/IcETRAN62308.2024.10645126(1-5)Online publication date: 3-Jun-2024
https://doi.org/10.1109/IcETRAN62308.2024.10645126

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