scholarly journals Early forest fire detection by vision-enabled wireless sensor networks

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.


2017 ◽  
Vol 14 (1) ◽  
pp. 728-735 ◽  
Author(s):  
Ahmed Salim ◽  
Asmaa Ahmed Badran

Wireless sensor networks (WSNs) are composed of many low cost, low power devices with sensing, local processing and wireless communication capabilities. Recent advances in wireless networks have led to many new protocols specifically designed for WSNs where energy awareness is an essential consideration. In this paper, we propose a new routing algorithm for WSNs called Chain-based Routing (CRA). CRA solves the main problems in Power Efficient Gathering in Sensor Information Systems (PEGASIS) algorithm. CRA minimizes the energy dissipation and maximizes the network lifetime of WSNs by introducing new chain construction method and new chain leader election algorithm. The simulation results show that our proposed algorithm outperforms the existing algorithms LEACH, PEGASIS, COSEN, and IECBSN in terms of network lifetime and energy consumption minimization.



2014 ◽  
Vol 134 (5) ◽  
pp. 612-619 ◽  
Author(s):  
Kohei Kamimura ◽  
Hitoshi Hayashi ◽  
Takaaki Hatauchi


2010 ◽  
Vol 9 (2) ◽  
pp. 215-221 ◽  
Author(s):  
Majid Bahrepour ◽  
Nirvana Meratnia ◽  
Paul J. M. Havinga


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1179
Author(s):  
Carolina Del-Valle-Soto ◽  
Carlos Mex-Perera ◽  
Juan Arturo Nolazco-Flores ◽  
Alma Rodríguez ◽  
Julio C. Rosas-Caro ◽  
...  

Wireless Sensor Networks constitute an important part of the Internet of Things, and in a similar way to other wireless technologies, seek competitiveness concerning savings in energy consumption and information availability. These devices (sensors) are typically battery operated and distributed throughout a scenario of particular interest. However, they are prone to interference attacks which we know as jamming. The detection of anomalous behavior in the network is a subject of study where the routing protocol and the nodes increase power consumption, which is detrimental to the network’s performance. In this work, a simple jamming detection algorithm is proposed based on an exhaustive study of performance metrics related to the routing protocol and a significant impact on node energy. With this approach, the proposed algorithm detects areas of affected nodes with minimal energy expenditure. Detection is evaluated for four known cluster-based protocols: PEGASIS, TEEN, LEACH, and HPAR. The experiments analyze the protocols’ performance through the metrics chosen for a jamming detection algorithm. Finally, we conducted real experimentation with the best performing wireless protocols currently used, such as Zigbee and LoRa.



2011 ◽  
Vol 58 (6) ◽  
pp. 1277-1286 ◽  
Author(s):  
Li-Yuan Chang ◽  
Pei-Yin Chen ◽  
Tsang-Yi Wang ◽  
Ching-Sung Chen


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