Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas

This study introduces a novel flood monitoring and warning system (FMWS) that leverages the capabilities of long-range wide area networks (LoRaWAN) to maintain extensive network connectivity, consume minimal power, and utilize low data transmission rates. We developed a new algorithm to measure and...

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Main Authors: Muhammad Aizzat, Zakaria, Jabbar, Waheb A., Noorazliza, Sulaiman
Format: Article
Language:English
Published: KeAi Communications Co. 2023
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/40638/1/Development%20of%20a%20smart%20sensing%20unit%20for%20LoRaWAN.pdf
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author Muhammad Aizzat, Zakaria
Jabbar, Waheb A.
Noorazliza, Sulaiman
author_facet Muhammad Aizzat, Zakaria
Jabbar, Waheb A.
Noorazliza, Sulaiman
author_sort Muhammad Aizzat, Zakaria
collection UMP
description This study introduces a novel flood monitoring and warning system (FMWS) that leverages the capabilities of long-range wide area networks (LoRaWAN) to maintain extensive network connectivity, consume minimal power, and utilize low data transmission rates. We developed a new algorithm to measure and monitor flood levels and rate changes effectively. The innovative, cost-effective, and user-friendly FMWS employs an HC-SR04 ultrasonic sensor with an Arduino microcontroller to measure flood levels and determine their status. Real-time data regarding flood levels and associated risk levels (safe, alert, cautious, or dangerous) are updated on The Things Network and integrated into TagoIO and ThingSpeak IoT platforms through a custom-built LoRaWAN gateway. The solar-powered system functions as a stand-alone beacon, notifying individuals and authorities of changing conditions. Consequently, the proposed LoRaWAN-based FMWS gathers information from catchment areas according to water level risks, triggering early flood warnings and sending them to authorities and residents via the mobile application and multiple web-based dashboards for proactive measures. The system's effectiveness and functionality are demonstrated through real-life implementation. Additionally, we evaluated the performance of the LoRa/LoRaWAN communication interface in terms of RSSI, SNR, PDR, and delay for two spreading factors (SF7 and SF12). The system's design allows for future expansion, enabling simultaneous data reporting from multiple sensor monitoring units to a server via a central gateway as a network.
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spelling UMPir406382024-10-18T02:27:50Z http://umpir.ump.edu.my/id/eprint/40638/ Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas Muhammad Aizzat, Zakaria Jabbar, Waheb A. Noorazliza, Sulaiman T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This study introduces a novel flood monitoring and warning system (FMWS) that leverages the capabilities of long-range wide area networks (LoRaWAN) to maintain extensive network connectivity, consume minimal power, and utilize low data transmission rates. We developed a new algorithm to measure and monitor flood levels and rate changes effectively. The innovative, cost-effective, and user-friendly FMWS employs an HC-SR04 ultrasonic sensor with an Arduino microcontroller to measure flood levels and determine their status. Real-time data regarding flood levels and associated risk levels (safe, alert, cautious, or dangerous) are updated on The Things Network and integrated into TagoIO and ThingSpeak IoT platforms through a custom-built LoRaWAN gateway. The solar-powered system functions as a stand-alone beacon, notifying individuals and authorities of changing conditions. Consequently, the proposed LoRaWAN-based FMWS gathers information from catchment areas according to water level risks, triggering early flood warnings and sending them to authorities and residents via the mobile application and multiple web-based dashboards for proactive measures. The system's effectiveness and functionality are demonstrated through real-life implementation. Additionally, we evaluated the performance of the LoRa/LoRaWAN communication interface in terms of RSSI, SNR, PDR, and delay for two spreading factors (SF7 and SF12). The system's design allows for future expansion, enabling simultaneous data reporting from multiple sensor monitoring units to a server via a central gateway as a network. KeAi Communications Co. 2023-01 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/40638/1/Development%20of%20a%20smart%20sensing%20unit%20for%20LoRaWAN.pdf Muhammad Aizzat, Zakaria and Jabbar, Waheb A. and Noorazliza, Sulaiman (2023) Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas. Internet of Things and Cyber-Physical Systems, 3. pp. 249-261. ISSN 2667-3452. (Published) https://doi.org/10.1016/j.iotcps.2023.04.005 https://doi.org/10.1016/j.iotcps.2023.04.005
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Muhammad Aizzat, Zakaria
Jabbar, Waheb A.
Noorazliza, Sulaiman
Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas
title Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas
title_full Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas
title_fullStr Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas
title_full_unstemmed Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas
title_short Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas
title_sort development of a smart sensing unit for lorawan based iot flood monitoring and warning system in catchment areas
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/40638/1/Development%20of%20a%20smart%20sensing%20unit%20for%20LoRaWAN.pdf
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AT noorazlizasulaiman developmentofasmartsensingunitforlorawanbasediotfloodmonitoringandwarningsystemincatchmentareas