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2021 | OriginalPaper | Chapter

A LoRa-Based Data Acquisition System for Wildfire Early Detection

Authors : Stefan Rizanov, Anna Stoynova, Dimitar Todorov

Published in: Advances in Computing and Network Communications

Publisher: Springer Singapore

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Abstract

A new original LoRa-based data acquisition system for wildfire detection is developed and presented. The emphasis in the paper is pointed towards hardware design concepts, physical system architecture, and implementation as well as embedded firmware structural details and algorithms. The main purpose of the proposed design is to propose techniques whose goals are to improve upon existing WSN fire hazard detection system designs by reducing the end-device power consumption. These techniques and the data analytical steps are described in detail, and evaluation on the basis of testing of their overall system performance improvement has been shown.

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EFFIS STATISTICS. https://effis.jrc.ec.europa.eu/static/effis.statistics.portal/effis-estimates/EU

CALL FIRE. https://www.fire.ca.gov/stats-events/

JRC Technical Reports, Forest Fires in Europe, Middle East and North Africa 2018, European Union (2019). https://doi.org/10.2760/1128

U.S. Forest Service. www.firelab.org/resource/thermal-imaging

M. Modest, Radiative Heat Transfer (Academic Press, Elsevier Science, 2013) ISBN: 9780123869449

A. Alkhatib, A review of forest fire detection techniques. Int. J. Distrib. Sens. Networks, 2014 (2014). https://doi.org/10.1155/2014/597368

S. Jones, K. Reinke, S. Mitchell, F. McConachie, C. Holland, Advances in the Remote Sensing of Active Fires. Report no. 336.2017, Melbourne: Bushfire and Natural Hazards CRC, (2017)

D.K. De et al., Twenty-first century technology of combating wildfire, in IOP Conf. Series: Earth and Environmental Science, vol. 331 (2019). https://doi.org/10.1088/1755-1315/331/1/012015

B. Mohanta, R.K. Mohanta, B. Sethi, Application of wireless sensor network to monitor forest fire. IJATER 1, 53–57 (2018) ISSN: 2250-3536

10.

R. Allison, J. Johnston, G. Craig, S. Jennings, Airborne optical and thermal remote sensing for wildfire detection and monitoring. Sensors 16(8), 1310 (2016) ISSN 1424-8220

11.

A.E.U. Adnan, Salam, A. Arifin, M. Rizal, Forest fire detection using LoRa wireless mesh topology, in 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT), Indonesia, pp. 184–187 (2018). https://doi.org/10.1109/EIConCIT.2018.8878488

12.

A.F. Ӧnal, B. Ülver, A. Durusoy, B. Erkmen, Intelligent wireless sensor networks for early fire warning system. Electrica (2019). https://doi.org/10.26650/electrica.2019.19019CrossRef

13.

S. Varunkumar, P.V. Yokeshraj, V. Vignesh, S. Tamilselvan, Implementation of wireless sensor network and IoT for real time forrest fire warning system. Int. J. Eng. Tech. 4(1), 150–153 (2018). ISSN: 2395-1303

14.

J. Toledo-Castro, I. Santos-González, et al., Forrest fire prevention, detection, and fighting based on fuzzy logic and wireless sensor networks. Complexity 2018, (2018). https://doi.org/10.1155/2018/1639715

15.

E.A. Kadir, S.K.A. Rahim, S.L. Rosa, Multi-sensor system for land and forest fire detection application in Peatland area. IJEEI 7(4) (2019). https://doi.org/10.11591/ijeei.v7i4.1604

16.

S. Rizanov, A. Stoynova, D. Todorov, System for early warning and monitoring of wildfires, in Presented at the XXVIII International Scientific Conference Electronics, Sozopol, Bulgaria, 12–14 Sept., (2019). https://doi.org/10.1109/ET.2019.8878653

17.

S. Sendra, L. Gracia, J. Lloret, I. Bosch, R. Vega-Rodriguez , LoRaWAN network for fire monitoring in rural environments. Electronics 9(3) (2020). https://doi.org/10.3390/electronics/9030531

18.

P. Anitha, V.S. Deepa, R. Divya, K. Sobana, An automatic forrest fire detection using LoRa wireless mesh topology. IRJET 7(2) (2020). ISSN: 2395-0072

19.

N. Gaitan, P. Hojbota, Forrest fire detection system using LoRa technology. IJACSA 11(5) (2020). https://doi.org/10.14569/IJACSA.2020.0110503

20.

T. Brito, A.I. Pereira, J. Lima, A. Valente, Wireless sensor network for ignitions detection: an IoT approach. Electronics 9(893) (2020). https://doi.org/10.3390/electronics9060893

21.

E. Bäumker, A. Miguel Garcia, P. Woias, Minimizing power consumption of LoRa and LoRaWAN for low-power wireless sensor nodes. PowerMEMS (2018). https://doi.org/10.1088/1742-6596/1407/1/012092CrossRef

22.

R. Yokelson, S. Urbanski, E. Atlas, et al., Emissions from forest fires near Mexico City. Atmosp. Chem. Phys. 7 (2007). ISSN: 5569-5584

23.

H. Yang, Y. Jiang, J. Liu, Z. Gong, The field investigation on thermal comfort of tent in early autumn in Tianjin, in MATEC Web of Conferences, vol. 61, (2016). https://doi.org/10.1051/matecconf/20166101001

24.

W. Martinez, A. Martinez, Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC, New York, 2015). ISBN 1-58488-229-8

25.

D. Hoaglin, F. Mosteller, J. Tukey (eds.), Understanding Robust and Exploratory Data Analysis (Wiley, New York, 2000). ISBN: 978-0-471-38491-5

26.

J. Chambers, W. Cleveland, B. Kleiner, P. Tukey, Graphical Methods for Data Analysis (CRC Press, 2018). ISBN-10: 0412052717

27.

L. Yu, N. Wang, X. Meng, Real-time forrest fire detection with wireless sensor networks, in Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing (WCNM'05), pp. 1214–1217 (2005). https://doi.org/10.1109/WCNM.2005.1544272

Title: A LoRa-Based Data Acquisition System for Wildfire Early Detection
Authors: Stefan Rizanov
Anna Stoynova
Dimitar Todorov
Publisher: Springer Singapore
Book: Advances in Computing and Network Communications
Print ISBN: 978-981-336-976-4

Electronic ISBN: 978-981-336-977-1

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-981-33-6977-1_21

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