Title:Field Experiment Testbed for Forest Fire Detection using Wireless Multimedia Sensor Network
VOLUME: 10 ISSUE: 1
Author(s):Houache Noureddine* and Kechar Bouabdellah
Affiliation:Department of Computer Science, Faculty of Exact and Applied Sciences, University of Oran 1 Ahmed Ben Bella, Oran, Department of Computer Science, Faculty of Exact and Applied Sciences, University of Oran 1 Ahmed Ben Bella, Oran
Keywords:Energy consumption, environmental monitoring, forest fire detection, multimodal approach, testbed, wireless multimedia
sensor networks.
Abstract:Forest fire disasters have arisen each year due to a number of factors. The main interest of
the authorities is to fight against these fires as early as possible with a minimum of damage, by exploiting
recent technologies suitable for this field. In this paper, we present the design and the implementation
of a forest fire detection system based on the Wireless Multimedia Sensor Networks
(WMSN) technology applied to our region (M'sila forest, Oran city - Algeria) using a field experiment
testbed with low cost hardware and software. In our previous study, the designed system detects
the fire using a mono modal approach (the sensed data was scalar in nature such as the temperature
and humidity). In this work, we enhanced this system by collecting, in addition, richer information
sources using cameras as data sources (by capturing images) to eliminate the false alarms
which present the main weakness of the first system. We call this new system as Multimedia Forest
Fire System (M2FS). Field experiments that we have carried out using the testbed under different
scenarios by evaluating the image compression, time constraint and energy consumption, allowed us
to validate our chosen technology (Arduino mote) for any application (scalar or multimedia), and also
revealed the supremacy of the multimodal approach to mitigate efficiently false alarms.