Using Wireless Multimedia Sensor Networks to Enhance Early Forest Fire Detection

2020 ◽  
Vol 11 (3) ◽  
pp. 1-21
Author(s):  
Houache Noureddine ◽  
Kechar Bouabdellah
Keyword(s):  
Sensor Networks ◽  
Forest Fire ◽  
Fire Detection ◽  
Image Sensor ◽  
Wireless Multimedia Sensor Networks ◽  
Wireless Multimedia ◽  
Test Bed ◽  
Detection Techniques ◽  
Multimedia Sensor Networks ◽  
Forest Fire Detection

In the present paper, the authors present the design, the development and field experiment of a forest fire detection system based on Wireless Multimedia Sensor Networks (WMSN) technology using a real test-bed. This system is an extension of their previous work presented in (Bouabdellah, Noureddine, & Larbi, 2013). The latter is based on mono modal approach (only scalar sensors were considered for data sensing), by adopting a new multimodal and cooperative approach in which it added the acquisition of much richer information using the image sensor in order to minimize false alarms that represents the main weakness for the old system. The validation of the proposal was performed by comparing two detection techniques (Canadian and Korean) in terms of time constraint and energy consumption. The results of the practical assessment confirmed the importance of the multimodal approach and also revealed the supremacy of the Canadian method and its compliance to the climate of Algeria's region.

Field Experiment Testbed for Forest Fire Detection using Wireless Multimedia Sensor Network

2020 ◽  
Vol 10 (1) ◽  
pp. 3-14
Author(s):  
Houache Noureddine ◽  
Kechar Bouabdellah
Keyword(s):  
Field Experiment ◽  
Forest Fire ◽  
Field Experiments ◽  
Detection System ◽  
Low Cost ◽  
Fire Detection ◽  
False Alarms ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Forest Fire Detection

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.

scholarly journals Forest Fire Detection Using Wireless Multimedia Sensor Networks and Image Compression

2021 ◽  
Vol 20 (1) ◽  
pp. 57-63
Author(s):  
Fatima Bouakkaz ◽  
Wided Ali ◽  
Makhlouf Derdour
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Forest Fire ◽  
Forest Fires ◽  
Image Sensors ◽  
Wireless Multimedia Sensor Networks ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Scalar Data ◽  
Station Base

Recently, the issue of multimedia sensors received considerable critical attention, that led to the apparition of Wireless Multimedia Sensor Networks (WMSNs) WMSN that different from wireless sensor networks (WSN) by using multimedia sensors that can process video, audio, image data besides scalar data and send it to station base (SB). Multimedia data have a big volume bigger than scalar data and need more resources and consumed more energy. The ideal solution to solve the problems of WMSN (big volume, energy consumption) is data compression. Forest plays a critical role in our daily life we can summarize the importance of forests in human life. Among the most dangerous events the forest fires that happen because of natural or Man-made. Many methods used to detect forest fires the newest are: wireless multimedia sensor networks. Our system of detecting forest fire has been developed using a wireless multimedia senor network with two types of sensors (scalar, images). In the first phase when the scalar sensors detected a high temperature its announced alarm to activate the image sensors. In the second phase for detecting fire the image sensors, we used image processing tools. When the zone of fire in the image captured was detected the phase of compression started using the down sampling method. the final phase is transmission data to the station base using the grid chain transmission protocol technique, which allows a critical optimization of energy consumption. So, maximizing network life. The competence of the proposed system is achieved by minimizing size of image transmitted with grid chain routing protocol.

Study of routing protocols used in sensor networks for forest fire detection

2020 ◽  
Author(s):  
Jose Guaman'Quiche ◽  
Edwin Guaman-Quinche ◽  
Hernan Torres-Carrion ◽  
Wilman Chamba-Zaragocin ◽  
Franciso Alvarez-Pineda
Keyword(s):  
Sensor Networks ◽  
Forest Fire ◽  
Routing Protocols ◽  
Fire Detection ◽  
Forest Fire Detection
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