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Earthquake Early Warning System By IOT Using Wireless Sensor Networks
Subject area: Science,Engineering and Technology · Area of research: Electrical and Electronics Enginnering
Abstract
The Wireless device network (WSN) is spatially distributed sensors in associate autonomous manner to observe physical environmental conditions. The Internet of things (IOT) is the network of computed physical objects which enables these things to connect, collect and exchange data. In this paper, we have a tendency to propose Associate in Nursing earthquake early warning system by means that of Associate in Nursing IOT in WSN. The sensors ar placed within the surface of the planet. When associate earthquake happens, each compression P wave and transversal S wave radiates outward the geographical point of the planet. The P wave, that travels quickest, journeys the sensors, placed in the landscape. It causes early alert signals to be transfer ahead, giving humans and automatic electronic system a warning to require precautional actions. So that before the harm begins with the arrival of the slower however stronger S waves, the general public ar warned earlier. Thus early alert message is received by the individuals in terms of location, time and other parameters. Eventually, several of the human lives are often saved. The software used here is Arduino where the three angle axis of the sensor can be sensed and detected when the sensors are interfaced with this software.
Keywords
Earthquake, Wireless Sensor Network, IOT, Warning signal
References
[1] Poslad S, Middleton S.E., Chaves F., Ran Tao Necmioglu O and Bugel U., “A Semantic IOT Early Warning System for Natural Environment Crisis Management”, IEEE Transaction on Emerging in Computing, vol. 3, Issue 6, pp. 246-257, 2015.
[2] Zhengguo Sheng, Mahapatra C, Chunsheng Zhu and Leung VCM, “Recent Advances in Industrial Wireless Sensor Networks toward Efficient Management in IoT”, IEEE access, vol. 3, pp. 622-637, 2015.
[3] Maneesha Vinodini Ramesh, “Design, Development,And Deployment of a Wireless Sensor Network for Detection of Landslides”, Ad Hoc Networks, Vol. 13, pp. 2-18, 2014.
[4] Fischer J, Kühnlenz F, Ahrens K, Eveslage I, “Model-based Development of Self- organizing Earthquake Early Warning Systems”. In: Troch, I., Breitenecker, F. (eds.) Proceedings MATHMOD 2009 Vienna (2009).
[5] Masatoshi Miyazawa. “Detection of seismal Events Triggered by P Waves From the 2011 Tohoku Oki Earthquake”, Earth, Planets and Space, Vol. 64, Issue 12, pp. 1223-1229, 2012.
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How to cite this paper
@article{1701117,
author = {Arunkumar A, Shyam Joseph A, Manikandan P S, Jayasudhakar J},
title = {Earthquake Early Warning System By IOT Using Wireless Sensor Networks},
journal = {Iconic Research And Engineering Journals},
year = {2019},
volume = {2},
number = {10},
pages = {41-44},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1701117.pdf},
abstract = {The Wireless device network (WSN) is spatially distributed sensors in associate autonomous manner to observe physical environmental conditions. The Internet of things (IOT) is the network of computed physical objects which enables these things to connect, collect and exchange data. In this paper, we have a tendency to propose Associate in Nursing earthquake early warning system by means that of Associate in Nursing IOT in WSN. The sensors ar placed within the surface of the planet. When associate earthquake happens, each compression P wave and transversal S wave radiates outward the geographical point of the planet. The P wave, that travels quickest, journeys the sensors, placed in the landscape. It causes early alert signals to be transfer ahead, giving humans and automatic electronic system a warning to require precautional actions. So that before the harm begins with the arrival of the slower however stronger S waves, the general public ar warned earlier. Thus early alert message is received by the individuals in terms of location, time and other parameters. Eventually, several of the human lives are often saved. The software used here is Arduino where the three angle axis of the sensor can be sensed and detected when the sensors are interfaced with this software.},
keywords = {Earthquake, Wireless Sensor Network, IOT, Warning signal},
month = {April},
}