Author Details

Disasters like earthquake, landslide, flood etc. typically generate enormous amount of debris in the disaster struck area. As a result of these disasters, there will be destruction of properties like home, public infrastructure which results in insecurity, loss of life and property and also interrupts public services. Wireless Sensor Networks play a vital role in disaster debris detection and management. Debris flows usually occurs in mountain regions having steep front. They comprise a huge congregation of solid matter like mud, soil are other waste generated due to earthquake, landslide etc. in water that flows down in the form of a wave. Landslides, earthquake and floods generate debris. They are amongst the foremost vulnerable natural disasters in mountainous torrents. Different factors are attributable to quality of debris flow: firstly their potentiality of transportation and deposition of enormous quantity of solid matters, which can additionally approach gigantic sizes, their sheer fronts, can attain huge meters of altitude and additionally their high speeds and depth of flow. To mitigate the effects of debris, a disaster debris management system is designed containing an different sensors, Nmote and an N-gateway to measure various parameters of debris flow and an alert is sent to the public and rescue team by using cloud services in advance so that there is less loss of life and property.

Keywords

Cloud Services, Debris, N-Gateway, N-Mote, Sensors.

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References

Qiu J, Xiao B, Lv K, “Design and implementation of the short-term forecasting and environmental monitoring system over WSN for urban special site,” IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI), pp. 756-759, 2012.

A Devasena, B Sowmya, “Wireless Sensor Network in Disaster Management,” Indian journal of Science and Technology, vol.8, No.15, pp. 1-6, 2015.

Mittal R, Bhatia M P S, “Wireless sensor networks for monitoring the environmental activities,” IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1-5, 2010.

Lee H C, Banerjee A, Fang Y M, et al, “Design of a multifunctional wireless sensor for in-situ monitoring of debris flows,” IEEE Transactions on Instrumentation and Measurement, vol.59 , No. 11, pp.2958-2967, 2010.

Liu Z, Liu Y, Gong X, “A monitoring and warning system for brae debris flow with multi-sensor network,” Chinese IEEE on Control and Decision Conference (CCDC), pp. 3781-3785, 2011.

Hiroaki Inokuchi, Takamasa Akiyama, “Debris treatment planning for large-scale earthquakes using fuzzy information,” International Conference on Soft Computing and Intelligent Systems, pp: 478-483, 2016.

Bletsas A, Khisti A, Reed D P,” A simple cooperative diversity method based on network path selection,” IEEE Journal on Selected Areas in Communications, vol.23, No. 3, pp. 659-672, 2006.

Jing Y, Jafarkhani H. “Single and multiple relay selection schemes and their achievable diversity orders”, IEEE Transactions on Wireless Communications, vol.8, No. 3, pp. 1414-1423, 2009.

Michalopoulos D S, Karagiannidis,”G K. PHY-layer fairness in amplify and forward cooperative diversity systems,” IEEE Transactions on Wireless Communications, vol.7 , No. 3, pp. 1073-1082, 2008.

Liu J, Lu K, Cai X, et al “Regenerative cooperative diversity with path selection and equal power consumption in wireless networks,” IEEE Transactions on Wireless Communications, vol.8 , No. 8,pp. 3926-3932, 2009.

Christian N. Koyama, Hideomi Gokon, Masaru Jimbo, Shunichi, Motoyuki Sato, “Disaster debris estimation using high-resolution polarimetric stereo-SAR”, ISPRS journal of Photogrammetry and Remote Sensing, vol.120, pp.84-98, 2016.

S. Sarah, M. Dilip, r. RahulAravindh,“ Disaster Alert and Notification system via android mobile phone using Google map,” International research journal of Engineering and Technology, vol.3, No.4, pp. 2709-2713, 2016.

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