Forest Fire Monitoring with an Adaptive In-Network Aggregation Scheduling in Wireless Sensor Networks

2012 ◽  
Vol E95.B (8) ◽  
pp. 2650-2653
Author(s):  
Jang Woon BAEK ◽  
Young Jin NAM ◽  
Dae-Wha SEO
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.


2015 ◽  
Vol 9 (3) ◽  
pp. 169-184 ◽  
Author(s):  
Teng Ma ◽  
Yun Liu ◽  
Junsong Fu ◽  
Ya Jing

2014 ◽  
Vol E97.B (11) ◽  
pp. 2386-2394
Author(s):  
Jang Woon BAEK ◽  
Kee-Koo KWON ◽  
Su-In LEE ◽  
Dae-Wha SEO

Author(s):  
Josué Toledo-Castro ◽  
Iván Santos-González ◽  
Pino Caballero-Gil ◽  
Candelaria Hernández-Goya ◽  
Nayra Rodríguez-Pérez ◽  
...  

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