Implementation of Wireless Sensor Network (WSN) for Earthquake Detection
The current earthquake monitoring system uses a seismometer that can capture seismic vibrations very well but is expensive, heavy, and difficult to launch. Therefore, earthquake monitoring stations can only be launched in a few places in small numbers. This study aims to implement a Wireless Sensor...
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| Format: | Article |
| Language: | Indonesian |
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Department of Electrical Engineering, Faculty of Engineering, Tanjungpura University
2022-10-01
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| Series: | Elkha: Jurnal Teknik Elektro |
| Subjects: | |
| Online Access: | https://jurnal.untan.ac.id/index.php/Elkha/article/view/56146 |
| _version_ | 1798029215369527296 |
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| author | Imanuel Sitanggang Joy A. I. Damanik Fajar Hutabarat Albert Sagala |
| author_facet | Imanuel Sitanggang Joy A. I. Damanik Fajar Hutabarat Albert Sagala |
| author_sort | Imanuel Sitanggang |
| collection | DOAJ |
| description | The current earthquake monitoring system uses a seismometer that can capture seismic vibrations very well but is expensive, heavy, and difficult to launch. Therefore, earthquake monitoring stations can only be launched in a few places in small numbers. This study aims to implement a Wireless Sensor Network (WSN) system for earthquake monitoring. The WSN system has advantages in cost, size, and ease of launch, so it is very appropriate to be used for this purpose. An earthquake detection sensor system has been designed in this study using a vibration sensor and a piezoelectric sensor. When an earthquake occurs, the resulting shock will trigger the vibration sensor and activate the sensor node. The shock data is then captured by the piezo sensor and processed by the microcontroller using Fast Fourier Transform (FFT) to determine the frequency value of the shock. The data is then sent to a gateway via a sensor network and uploaded to the Cayenne monitoring website. Operators can then view the data on the website. Three sensor nodes are implemented in this study. The test is done by placing those sensor nodes together in random positions. A shock is then given to the three sensor nodes, and the resulting data is then observed. The results show that the three sensors can detect, retrieve, process, and send shock data to the Cayenne monitoring website. |
| first_indexed | 2024-04-11T19:20:39Z |
| format | Article |
| id | doaj.art-0e039289a62c44b192cdfb0366a9aa3c |
| institution | Directory Open Access Journal |
| issn | 1858-1463 2580-6807 |
| language | Indonesian |
| last_indexed | 2024-04-11T19:20:39Z |
| publishDate | 2022-10-01 |
| publisher | Department of Electrical Engineering, Faculty of Engineering, Tanjungpura University |
| record_format | Article |
| series | Elkha: Jurnal Teknik Elektro |
| spelling | doaj.art-0e039289a62c44b192cdfb0366a9aa3c2022-12-22T04:07:18ZindDepartment of Electrical Engineering, Faculty of Engineering, Tanjungpura UniversityElkha: Jurnal Teknik Elektro1858-14632580-68072022-10-0114210210910.26418/elkha.v14i2.5614637248Implementation of Wireless Sensor Network (WSN) for Earthquake DetectionImanuel Sitanggang0Joy A. I. Damanik1Fajar Hutabarat2Albert Sagala3Institut Teknologi DelInstitut Teknologi DelInstitut Teknologi DelInstitut Teknologi DelThe current earthquake monitoring system uses a seismometer that can capture seismic vibrations very well but is expensive, heavy, and difficult to launch. Therefore, earthquake monitoring stations can only be launched in a few places in small numbers. This study aims to implement a Wireless Sensor Network (WSN) system for earthquake monitoring. The WSN system has advantages in cost, size, and ease of launch, so it is very appropriate to be used for this purpose. An earthquake detection sensor system has been designed in this study using a vibration sensor and a piezoelectric sensor. When an earthquake occurs, the resulting shock will trigger the vibration sensor and activate the sensor node. The shock data is then captured by the piezo sensor and processed by the microcontroller using Fast Fourier Transform (FFT) to determine the frequency value of the shock. The data is then sent to a gateway via a sensor network and uploaded to the Cayenne monitoring website. Operators can then view the data on the website. Three sensor nodes are implemented in this study. The test is done by placing those sensor nodes together in random positions. A shock is then given to the three sensor nodes, and the resulting data is then observed. The results show that the three sensors can detect, retrieve, process, and send shock data to the Cayenne monitoring website.https://jurnal.untan.ac.id/index.php/Elkha/article/view/56146earthquake detection, disaster monitoring, wireless sensor network |
| spellingShingle | Imanuel Sitanggang Joy A. I. Damanik Fajar Hutabarat Albert Sagala Implementation of Wireless Sensor Network (WSN) for Earthquake Detection Elkha: Jurnal Teknik Elektro earthquake detection, disaster monitoring, wireless sensor network |
| title | Implementation of Wireless Sensor Network (WSN) for Earthquake Detection |
| title_full | Implementation of Wireless Sensor Network (WSN) for Earthquake Detection |
| title_fullStr | Implementation of Wireless Sensor Network (WSN) for Earthquake Detection |
| title_full_unstemmed | Implementation of Wireless Sensor Network (WSN) for Earthquake Detection |
| title_short | Implementation of Wireless Sensor Network (WSN) for Earthquake Detection |
| title_sort | implementation of wireless sensor network wsn for earthquake detection |
| topic | earthquake detection, disaster monitoring, wireless sensor network |
| url | https://jurnal.untan.ac.id/index.php/Elkha/article/view/56146 |
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