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1701117PublishedVol 2 · Issue 10

Earthquake Early Warning System By IOT Using Wireless Sensor Networks

Arunkumar A Shyam Joseph A Manikandan P S Jayasudhakar J

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

How to cite this paper

Arunkumar A, Shyam Joseph A, Manikandan P S, Jayasudhakar J "Earthquake Early Warning System By IOT Using Wireless Sensor Networks" Iconic Research And Engineering Journals Volume 2 Issue 10 2019 Page 41-44
Arunkumar A, Shyam Joseph A, Manikandan P S, Jayasudhakar J "Earthquake Early Warning System By IOT Using Wireless Sensor Networks" Iconic Research And Engineering Journals, vol. 2, no. 10, Apr. 2019
Arunkumar A, Shyam Joseph A, Manikandan P S, Jayasudhakar J (2019). Earthquake Early Warning System By IOT Using Wireless Sensor Networks. Iconic Research And Engineering Journals, 2(10).
Arunkumar A, Shyam Joseph A, Manikandan P S, Jayasudhakar J "Earthquake Early Warning System By IOT Using Wireless Sensor Networks" Iconic Research And Engineering Journals, vol. 2, no. 10, Apr. 2019.
@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},
  }