Improving efficiency and reliability in the seismic monitoring systems based on the Internet of Things by applying redundancy in sensors and controllers
Earthquakes are usually associated with damage. Therefore, any action to predict it is necessary. In data monitoring systems, being real-time and accuracy of data play a key role. In this article, a monitoring system based on the Internet of Things was proposed for the messaging of seismic data. In...
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| Format: | Article |
| Language: | fas |
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Islamic Azad University Bushehr Branch
2024-07-01
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| Series: | مهندسی مخابرات جنوب |
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| Online Access: | https://sanad.iau.ir/journal/jce/Article/870042 |
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| author | Iman Zangeneh Amir Massoud Bidgoli Ardeshir Dolati |
| author_facet | Iman Zangeneh Amir Massoud Bidgoli Ardeshir Dolati |
| author_sort | Iman Zangeneh |
| collection | DOAJ |
| description | Earthquakes are usually associated with damage. Therefore, any action to predict it is necessary. In data monitoring systems, being real-time and accuracy of data play a key role. In this article, a monitoring system based on the Internet of Things was proposed for the messaging of seismic data. In the first solution, the lightweight protocol Message Queuing Telemetry Transfer (MQTT) was chosen for messaging. In the second solution, redundancy was applied in the sensor layer using the gray wolf algorithm, and in the third solution، redundancy was applied in the controller layer. The simulation results showed that the redundancy in the sensor and controller layer saved energy consumption by more than thirty percent. Also, the average end-to-end delay was significantly reduced in the second and third solutions. Finally، in the first solution, the rate of successful package delivery for different numbers of packages was a constant value of 78.98%. But by applying redundancy in the sensor and controller, the package delivery rate increased to over 92%, which can be the result of increasing the number of sensors and controllers and their proper placement. |
| format | Article |
| id | doaj-art-16d73983ea424e149621cc9dce816b32 |
| institution | Kabale University |
| issn | 2980-9231 |
| language | fas |
| publishDate | 2024-07-01 |
| publisher | Islamic Azad University Bushehr Branch |
| record_format | Article |
| series | مهندسی مخابرات جنوب |
| spelling | doaj-art-16d73983ea424e149621cc9dce816b322025-01-11T05:10:00ZfasIslamic Azad University Bushehr Branchمهندسی مخابرات جنوب2980-92312024-07-0113521132Improving efficiency and reliability in the seismic monitoring systems based on the Internet of Things by applying redundancy in sensors and controllersIman Zangeneh0Amir Massoud Bidgoli1Ardeshir Dolati2Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, IranDepartment of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, IranDepartment of computer science, Faculty of Science, University of shahid, Tehran, IranEarthquakes are usually associated with damage. Therefore, any action to predict it is necessary. In data monitoring systems, being real-time and accuracy of data play a key role. In this article, a monitoring system based on the Internet of Things was proposed for the messaging of seismic data. In the first solution, the lightweight protocol Message Queuing Telemetry Transfer (MQTT) was chosen for messaging. In the second solution, redundancy was applied in the sensor layer using the gray wolf algorithm, and in the third solution، redundancy was applied in the controller layer. The simulation results showed that the redundancy in the sensor and controller layer saved energy consumption by more than thirty percent. Also, the average end-to-end delay was significantly reduced in the second and third solutions. Finally، in the first solution, the rate of successful package delivery for different numbers of packages was a constant value of 78.98%. But by applying redundancy in the sensor and controller, the package delivery rate increased to over 92%, which can be the result of increasing the number of sensors and controllers and their proper placement.https://sanad.iau.ir/journal/jce/Article/870042seismic internet of things energy consumption packet delivery rate bit error. |
| spellingShingle | Iman Zangeneh Amir Massoud Bidgoli Ardeshir Dolati Improving efficiency and reliability in the seismic monitoring systems based on the Internet of Things by applying redundancy in sensors and controllers مهندسی مخابرات جنوب seismic internet of things energy consumption packet delivery rate bit error. |
| title | Improving efficiency and reliability in the seismic monitoring systems based on the Internet of Things by applying redundancy in sensors and controllers |
| title_full | Improving efficiency and reliability in the seismic monitoring systems based on the Internet of Things by applying redundancy in sensors and controllers |
| title_fullStr | Improving efficiency and reliability in the seismic monitoring systems based on the Internet of Things by applying redundancy in sensors and controllers |
| title_full_unstemmed | Improving efficiency and reliability in the seismic monitoring systems based on the Internet of Things by applying redundancy in sensors and controllers |
| title_short | Improving efficiency and reliability in the seismic monitoring systems based on the Internet of Things by applying redundancy in sensors and controllers |
| title_sort | improving efficiency and reliability in the seismic monitoring systems based on the internet of things by applying redundancy in sensors and controllers |
| topic | seismic internet of things energy consumption packet delivery rate bit error. |
| url | https://sanad.iau.ir/journal/jce/Article/870042 |
| work_keys_str_mv | AT imanzangeneh improvingefficiencyandreliabilityintheseismicmonitoringsystemsbasedontheinternetofthingsbyapplyingredundancyinsensorsandcontrollers AT amirmassoudbidgoli improvingefficiencyandreliabilityintheseismicmonitoringsystemsbasedontheinternetofthingsbyapplyingredundancyinsensorsandcontrollers AT ardeshirdolati improvingefficiencyandreliabilityintheseismicmonitoringsystemsbasedontheinternetofthingsbyapplyingredundancyinsensorsandcontrollers |