LPWAN Based IoT Surveillance System for Outdoor Fire Detection

42Citations
Citations of this article
103Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Many fire situations have represented the loss of lives and material costs due to the lack of early fire detection through smoke or gas sensing, which can become complex and critical. Meanwhile, engineers worldwide develop and test multiple systems for smoke and gas detection, commonly based on sensor networks, digital image processing, or computer vision. Furthermore, the detection system must work thoroughly with alarms and warnings that aware of a risk situation for prompt evacuation of the population in the surroundings based on a reliable data network topology with adequate device deployments that will let us know the moment a fire outbreak. This paper presents a low-cost Internet of Things (IoT) prototype for fire detection in outdoor environments based on sensors and Low Power Wide Area Network (LPWAN), focused on the accuracy in the temperature and gas measurement at the moment a fire starts. For its achievement, we integrated wireless components, development boards, and electronic devices, following the management of information updates through a database schema for the alarm settings based on the data gathered from the sensors.

References Powered by Scopus

A comparative study of LPWAN technologies for large-scale IoT deployment

1082Citations
N/AReaders
Get full text

On the lifetime of wireless sensor networks

573Citations
N/AReaders
Get full text

Towards sensor database systems

309Citations
N/AReaders
Get full text

Cited by Powered by Scopus

EdgeFireSmoke: A Novel Lightweight CNN Model for Real-Time Video Fire-Smoke Detection

73Citations
N/AReaders
Get full text

From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

72Citations
N/AReaders
Get full text

Vision Sensor-Based Real-Time Fire Detection in Resource-Constrained IoT Environments

69Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Roque, G., & Padilla, V. S. (2020). LPWAN Based IoT Surveillance System for Outdoor Fire Detection. IEEE Access, 8, 114900–114909. https://doi.org/10.1109/ACCESS.2020.3003848

Readers over time

‘20‘21‘22‘23‘24‘2509182736

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 17

68%

Lecturer / Post doc 4

16%

Professor / Associate Prof. 3

12%

Researcher 1

4%

Readers' Discipline

Tooltip

Computer Science 17

52%

Engineering 14

42%

Nursing and Health Professions 1

3%

Social Sciences 1

3%

Save time finding and organizing research with Mendeley

Sign up for free
0