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

Published: 04 December 2023 Publication History

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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  • (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
  • (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
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  1. A LoRa-based Wireless Sensor Network monitoring system for urban areas subjected to landslide

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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
    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

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    Published: 04 December 2023

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    View all
    • (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
    • (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
    • (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
    • (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
    • (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

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