scholarly journals Using Wireless Sensor Networks for Reliable Forest Fires Detection

2013 ◽  
Vol 19 ◽  
pp. 794-801 ◽  
Author(s):  
Kechar Bouabdellah ◽  
Houache Noureddine ◽  
Sekhri Larbi
2018 ◽  
Vol 10 (10) ◽  
pp. 102 ◽  
Author(s):  
Yi-Han Xu ◽  
Qiu-Ya Sun ◽  
Yu-Tong Xiao

Forest fires are a fatal threat to environmental degradation. Wireless sensor networks (WSNs) are regarded as a promising candidate for forest fire monitoring and detection since they enable real-time monitoring and early detection of fire threats in an efficient way. However, compared to conventional surveillance systems, WSNs operate under a set of unique resource constraints, including limitations with respect to transmission range, energy supply and computational capability. Considering that long transmission distance is inevitable in harsh geographical features such as woodland and shrubland, energy-efficient designs of WSNs are crucial for effective forest fire monitoring and detection systems. In this paper, we propose a novel framework that harnesses the benefits of WSNs for forest fire monitoring and detection. The framework employs random deployment, clustered hierarchy network architecture and environmentally aware protocols. The goal is to accurately detect a fire threat as early as possible while maintaining a reasonable energy consumption level. ns-2-based simulation validates that the proposed framework outperforms the conventional schemes in terms of detection delay and energy consumption.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Josué Toledo-Castro ◽  
Pino Caballero-Gil ◽  
Nayra Rodríguez-Pérez ◽  
Iván Santos-González ◽  
Candelaria Hernández-Goya ◽  
...  

Huge losses and serious threats to ecosystems are common consequences of forest fires. This work describes a forest fire controller based on fuzzy logic and decision-making methods aiming at enhancing forest fire prevention, detection, and fighting systems. In the proposal, the environmental monitoring of several dynamic risk factors is performed with wireless sensor networks and analysed with the proposed fuzzy-based controller. With respect to this, meteorological variables, polluting gases and the oxygen level are measured in real time to estimate the existence of forest fire risks in the short-term and to detect the recent occurrence of fire outbreaks over different forest areas. Besides, the Analytic Hierarchy Process method is used to determine the level of fire spread, and, when necessary, environmental alerts are sent by a Web service and received by a mobile application. For this purpose, integrity, confidentiality, and authenticity of environmental information and alerts are protected with implementations of Lamport’s authentication scheme, Diffie-Lamport signature, and AES-CBC block cipher.


2012 ◽  
Vol 21 (8) ◽  
pp. 938 ◽  
Author(s):  
Jorge Fernández-Berni ◽  
Ricardo Carmona-Galán ◽  
Juan F. Martínez-Carmona ◽  
Ángel Rodríguez-Vázquez

Wireless sensor networks constitute a powerful technology particularly suitable for environmental monitoring. With regard to wildfires, they enable low-cost fine-grained surveillance of hazardous locations like wildland–urban interfaces. This paper presents work developed during the last 4 years targeting a vision-enabled wireless sensor network node for the reliable, early on-site detection of forest fires. The tasks carried out ranged from devising a robust vision algorithm for smoke detection to the design and physical implementation of a power-efficient smart imager tailored to the characteristics of such an algorithm. By integrating this smart imager with a commercial wireless platform, we endowed the resulting system with vision capabilities and radio communication. Numerous tests were arranged in different natural scenarios in order to progressively tune all the parameters involved in the autonomous operation of this prototype node. The last test carried out, involving the prescribed burning of a 95 × 20-m shrub plot, confirmed the high degree of reliability of our approach in terms of both successful early detection and a very low false-alarm rate.


In modern era, with technologies shifting from wired to wireless technologies, Wireless Sensor Networks (WSNs) play an essential role in advancement of technology. WSNs have limited battery .In this paper, we propose Improved Multiple Gateway Node (MGN) based Routing Architecture (IMRA) that increases both network lifetime and stability period of the network and also improves energy efficiency. It uses the technique of load balancing and considers average energy of the network to improve aforementioned parameters. IMRA is event-driven protocol and has four MGNs with unlimited power which makes this protocol efficient for use in disaster prone areas like earthquakes, forest fires etc. saving millions of lives. Wireless Sensor Networks (WSNs) play an essential role in advancement of technology. Various disasters like earthquakes, forest fires, etc. can be sensed in advance using latest technology in WSNs and preventive measures can be taken. IMRA surpasses other protocols by increasing Stability Period, Half Node Dead and Network lifetime by 58.18%, 55.94% and 52.96% respectively as compared to traditional MRA and by 156.99%, 86.2% and 90.12% respectively as compared to Threshold sensitive Energy Efficient Delay aware Routing Protocol(TEDRP).


Author(s):  
Jiangjiang Duan ◽  
Boyang Yu ◽  
Wei Yang ◽  
Jia Li ◽  
Wenke Xie ◽  
...  

Harvesting heat from fire itself to power wireless sensor networks has the potential to realize effective detection and alarm for forest fires. Thermocell based on thermogalvanic effect offers an inexpensive...


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