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FireSenseTB: a wireless sensor networks testbed for forest fire detection

Published: 21 June 2009 Publication History

Abstract

Wireless sensor networks promise great success in many areas from environmental monitoring to medical and military applications. Forest fire detection is one of these areas where many of the ongoing WSN research is focused today. Unfortunately, most of these studies choose simulating their proposed solutions instead of doing experiments in real testbed environments, since that kind of setup exposes additional difficulties. Our previous work, named FireSense, proposed a fire detection algorithm, which was shown to be successful in terms of simulation results.
In this study, we take FireSense to a real outdoor testbed for further analysis of its effectiveness in terms of various parameters such as link and node failures, topology and physical configuration changes, wind direction, ignition point position and sampling period variations.

References

[1]
Canada Forest Service Home Page, available at http://cfs.nrcan.gc.ca/
[2]
E. H B. Son, Y. Her, and J. Kim. A design and implementation of forest-fires surveillance system based on wireless sensor networks for South Korea mountains. International Journal of Computer Science and Network Security (IJCSNS), 6(9):124--130, 2006.
[3]
FARSITE, Fire Area Simulator, available at www.farsite.firemodels.org
[4]
Firebug, Design and Construction of a Wildfire Instrumentation System Using Networked Sensors, available at http://firebug.sourceforge.net/.
[5]
G. Kucuk, B. Kosucu, A. Yavas, S. Baydere, "FireSense: Forest Fire Prediction and Detection System using Wireless Sensor Networks", DCOSS Workshop '08.
[6]
M. Hefeeda, M. Bagheri, Wireless Sensor Networks for Early Detection of Forest Fires, In Proc. of International Workshop on Mobile Ad hoc and Sensor Systems for Global and Homeland Security (MASS-GHS'07), in conjunction with IEEE MASS'07, Pisa, Italy, October 2007.
[7]
SQS, Scalable Querying Protocol, available at http://cse.yeditepe.edu.tr/tnl/sqs.php?lang=en
[8]
TinyOS, a free and open source component-based operating system and platform targeting wireless sensor networks, available at www.tinyos.net
[9]
Tmote-sky, ultra low power wireless sensor module for use in sensor networks, http://www.moteiv.com

Cited By

View all
  • (2022)Using Wireless Multimedia Sensor Networks to Enhance Early Forest Fire DetectionResearch Anthology on Ecosystem Conservation and Preserving Biodiversity10.4018/978-1-6684-5678-1.ch013(243-264)Online publication date: 8-Apr-2022
  • (2021)GIS-Based Forest Fire Susceptibility Zonation with IoT Sensor Network Support, Case Study—Nature Park Golija, SerbiaSensors10.3390/s2119652021:19(6520)Online publication date: 29-Sep-2021
  • (2020)Using Wireless Multimedia Sensor Networks to Enhance Early Forest Fire DetectionInternational Journal of Distributed Systems and Technologies10.4018/IJDST.202007010111:3(1-21)Online publication date: 1-Jul-2020
  • Show More Cited By

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          cover image ACM Conferences
          IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
          June 2009
          1561 pages
          ISBN:9781605585697
          DOI:10.1145/1582379
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Publication History

          Published: 21 June 2009

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          Author Tags

          1. forest fire detection
          2. outdoor testbed
          3. wireless sensor networks

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          Cited By

          View all
          • (2022)Using Wireless Multimedia Sensor Networks to Enhance Early Forest Fire DetectionResearch Anthology on Ecosystem Conservation and Preserving Biodiversity10.4018/978-1-6684-5678-1.ch013(243-264)Online publication date: 8-Apr-2022
          • (2021)GIS-Based Forest Fire Susceptibility Zonation with IoT Sensor Network Support, Case Study—Nature Park Golija, SerbiaSensors10.3390/s2119652021:19(6520)Online publication date: 29-Sep-2021
          • (2020)Using Wireless Multimedia Sensor Networks to Enhance Early Forest Fire DetectionInternational Journal of Distributed Systems and Technologies10.4018/IJDST.202007010111:3(1-21)Online publication date: 1-Jul-2020
          • (2020)Fast Monte Carlo method to simulate atmospheric backscattering of wireless laser sensor network2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00156(211-215)Online publication date: Nov-2020
          • (2019)A Survey on the Progress of Testing Techniques and Methods for Wireless Sensor NetworksIEEE Access10.1109/ACCESS.2018.28872467(4302-4316)Online publication date: 2019
          • (2018)Forest Fire Detection System Using IoT and Artificial Neural NetworkInternational Conference on Innovative Computing and Communications10.1007/978-981-13-2324-9_33(323-337)Online publication date: 3-Nov-2018
          • (2017)Enabling Technologies for Green Internet of ThingsIEEE Systems Journal10.1109/JSYST.2015.241519411:2(983-994)Online publication date: Jun-2017
          • (2017)An insight to forest fire detection techniques using wireless sensor networks2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)10.1109/ISPCC.2017.8269757(647-653)Online publication date: Sep-2017
          • (2015)Design and Field Test of a WSN Platform Prototype for Long-Term Environmental MonitoringSensors10.3390/s15040948115:4(9481-9518)Online publication date: 22-Apr-2015
          • (2014)Exploring the Boundaries of Robust Stability Under Uncertain Communication: An NCS Toolbox Applied to a Wireless Control SetupIEEE Control Systems10.1109/MCS.2014.232039434:4(65-86)Online publication date: Aug-2014
          • Show More Cited By

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