A fault tolerant surveillance system for fire detection and prevention using LoRaWAN in smart buildings

In recent years, fire detection technologies have helped safeguard lives and property from hazards. Early fire warning methods, such as smoke or gas sensors, are ineffectual. Many fires have caused deaths and property damage. IoT is a fast-growing technology. It contains equipment, buildings, electr...

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Main Authors: Safi, Abdullah, Ahmad, Zulfiqar, Jehangiri, Ali Imran, Latip, Rohaya, uz Zaman, Sardar Khaliq, Khan, Muhammad Amir, Ghoniem, Rania M.
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2022
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author Safi, Abdullah
Ahmad, Zulfiqar
Jehangiri, Ali Imran
Latip, Rohaya
uz Zaman, Sardar Khaliq
Khan, Muhammad Amir
Ghoniem, Rania M.
author_facet Safi, Abdullah
Ahmad, Zulfiqar
Jehangiri, Ali Imran
Latip, Rohaya
uz Zaman, Sardar Khaliq
Khan, Muhammad Amir
Ghoniem, Rania M.
author_sort Safi, Abdullah
collection UPM
description In recent years, fire detection technologies have helped safeguard lives and property from hazards. Early fire warning methods, such as smoke or gas sensors, are ineffectual. Many fires have caused deaths and property damage. IoT is a fast-growing technology. It contains equipment, buildings, electrical systems, vehicles, and everyday things with computing and sensing capabilities. These objects can be managed and monitored remotely as they are connected to the Internet. In the Internet of Things concept, low-power devices like sensors and controllers are linked together using the concept of Low Power Wide Area Network (LPWAN). Long Range Wide Area Network (LoRaWAN) is an LPWAN product used on the Internet of Things (IoT). It is well suited for networks of things connected to the Internet, where terminals send a minute amount of sensor data over large distances, providing the end terminals with battery lifetimes of years. In this article, we design and implement a LoRaWAN-based system for smart building fire detection and prevention, not reliant upon Wireless Fidelity (Wi-Fi) connection. A LoRa node with a combination of sensors can detect smoke, gas, Liquefied Petroleum Gas (LPG), propane, methane, hydrogen, alcohol, temperature, and humidity. We developed the system in a real-world environment utilizing Wi-Fi Lora 32 boards. The performance is evaluated considering the response time and overall network delay. The tests are carried out in different lengths (0–600 m) and heights above the ground (0–2 m) in an open environment and indoor (1st Floor–3rd floor) environment. We observed that the proposed system outperformed in sensing and data transfer from sensing nodes to the controller boards.
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spelling upm.eprints-1001462024-07-17T03:18:42Z http://psasir.upm.edu.my/id/eprint/100146/ A fault tolerant surveillance system for fire detection and prevention using LoRaWAN in smart buildings Safi, Abdullah Ahmad, Zulfiqar Jehangiri, Ali Imran Latip, Rohaya uz Zaman, Sardar Khaliq Khan, Muhammad Amir Ghoniem, Rania M. In recent years, fire detection technologies have helped safeguard lives and property from hazards. Early fire warning methods, such as smoke or gas sensors, are ineffectual. Many fires have caused deaths and property damage. IoT is a fast-growing technology. It contains equipment, buildings, electrical systems, vehicles, and everyday things with computing and sensing capabilities. These objects can be managed and monitored remotely as they are connected to the Internet. In the Internet of Things concept, low-power devices like sensors and controllers are linked together using the concept of Low Power Wide Area Network (LPWAN). Long Range Wide Area Network (LoRaWAN) is an LPWAN product used on the Internet of Things (IoT). It is well suited for networks of things connected to the Internet, where terminals send a minute amount of sensor data over large distances, providing the end terminals with battery lifetimes of years. In this article, we design and implement a LoRaWAN-based system for smart building fire detection and prevention, not reliant upon Wireless Fidelity (Wi-Fi) connection. A LoRa node with a combination of sensors can detect smoke, gas, Liquefied Petroleum Gas (LPG), propane, methane, hydrogen, alcohol, temperature, and humidity. We developed the system in a real-world environment utilizing Wi-Fi Lora 32 boards. The performance is evaluated considering the response time and overall network delay. The tests are carried out in different lengths (0–600 m) and heights above the ground (0–2 m) in an open environment and indoor (1st Floor–3rd floor) environment. We observed that the proposed system outperformed in sensing and data transfer from sensing nodes to the controller boards. Multidisciplinary Digital Publishing Institute 2022-11-01 Article PeerReviewed Safi, Abdullah and Ahmad, Zulfiqar and Jehangiri, Ali Imran and Latip, Rohaya and uz Zaman, Sardar Khaliq and Khan, Muhammad Amir and Ghoniem, Rania M. (2022) A fault tolerant surveillance system for fire detection and prevention using LoRaWAN in smart buildings. Sensors, 22 (21). art. no. 8411. pp. 1-17. ISSN 1424-8220 https://www.mdpi.com/1424-8220/22/21/8411 10.3390/s22218411
spellingShingle Safi, Abdullah
Ahmad, Zulfiqar
Jehangiri, Ali Imran
Latip, Rohaya
uz Zaman, Sardar Khaliq
Khan, Muhammad Amir
Ghoniem, Rania M.
A fault tolerant surveillance system for fire detection and prevention using LoRaWAN in smart buildings
title A fault tolerant surveillance system for fire detection and prevention using LoRaWAN in smart buildings
title_full A fault tolerant surveillance system for fire detection and prevention using LoRaWAN in smart buildings
title_fullStr A fault tolerant surveillance system for fire detection and prevention using LoRaWAN in smart buildings
title_full_unstemmed A fault tolerant surveillance system for fire detection and prevention using LoRaWAN in smart buildings
title_short A fault tolerant surveillance system for fire detection and prevention using LoRaWAN in smart buildings
title_sort fault tolerant surveillance system for fire detection and prevention using lorawan in smart buildings
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