The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks
Recent technological advances have reduced the complexity and cost of developing sensor networks for remote environmental monitoring. However, the challenges of acquiring, transmitting, storing, and processing remote environmental data remain significant. The transmission of large volumes of sensor...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/10/3615 |
| _version_ | 1797495802032029696 |
|---|---|
| author | Frank Sepulveda Joseph Soloman Thangraj Jay Pulliam |
| author_facet | Frank Sepulveda Joseph Soloman Thangraj Jay Pulliam |
| author_sort | Frank Sepulveda |
| collection | DOAJ |
| description | Recent technological advances have reduced the complexity and cost of developing sensor networks for remote environmental monitoring. However, the challenges of acquiring, transmitting, storing, and processing remote environmental data remain significant. The transmission of large volumes of sensor data to a centralized location (i.e., the cloud) burdens network resources, introduces latency and jitter, and can ultimately impact user experience. Edge computing has emerged as a paradigm in which substantial storage and computing resources are located at the “edge” of the network. In this paper, we present an edge storage and computing framework leveraging commercially available components organized in a tiered architecture and arranged in a hub-and-spoke topology. The framework includes a popular distributed database to support the acquisition, transmission, storage, and processing of Internet-of-Things-based sensor network data in a field setting. We present details regarding the architecture, distributed database, embedded systems, and topology used to implement an edge-based solution. Lastly, a real-world case study (i.e., seismic) is presented that leverages the edge storage and computing framework to acquire, transmit, store, and process millions of samples of data per hour. |
| first_indexed | 2024-03-10T01:54:47Z |
| format | Article |
| id | doaj.art-31e7d3eb73444e05a5adc5802eadab0c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:54:47Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-31e7d3eb73444e05a5adc5802eadab0c2023-11-23T12:58:16ZengMDPI AGSensors1424-82202022-05-012210361510.3390/s22103615The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor NetworksFrank Sepulveda0Joseph Soloman Thangraj1Jay Pulliam2Department of Geosciences, Baylor University, Waco, TX 76706, USADepartment of Geosciences, Baylor University, Waco, TX 76706, USADepartment of Geosciences, Baylor University, Waco, TX 76706, USARecent technological advances have reduced the complexity and cost of developing sensor networks for remote environmental monitoring. However, the challenges of acquiring, transmitting, storing, and processing remote environmental data remain significant. The transmission of large volumes of sensor data to a centralized location (i.e., the cloud) burdens network resources, introduces latency and jitter, and can ultimately impact user experience. Edge computing has emerged as a paradigm in which substantial storage and computing resources are located at the “edge” of the network. In this paper, we present an edge storage and computing framework leveraging commercially available components organized in a tiered architecture and arranged in a hub-and-spoke topology. The framework includes a popular distributed database to support the acquisition, transmission, storage, and processing of Internet-of-Things-based sensor network data in a field setting. We present details regarding the architecture, distributed database, embedded systems, and topology used to implement an edge-based solution. Lastly, a real-world case study (i.e., seismic) is presented that leverages the edge storage and computing framework to acquire, transmit, store, and process millions of samples of data per hour.https://www.mdpi.com/1424-8220/22/10/3615ambient noise seismic interferometryApache Cassandradatastax enterpriseedge computingedge storageInternet of Things (IoT) |
| spellingShingle | Frank Sepulveda Joseph Soloman Thangraj Jay Pulliam The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks Sensors ambient noise seismic interferometry Apache Cassandra datastax enterprise edge computing edge storage Internet of Things (IoT) |
| title | The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks |
| title_full | The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks |
| title_fullStr | The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks |
| title_full_unstemmed | The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks |
| title_short | The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks |
| title_sort | edge of exploration an edge storage and computing framework for ambient noise seismic interferometry using internet of things based sensor networks |
| topic | ambient noise seismic interferometry Apache Cassandra datastax enterprise edge computing edge storage Internet of Things (IoT) |
| url | https://www.mdpi.com/1424-8220/22/10/3615 |
| work_keys_str_mv | AT franksepulveda theedgeofexplorationanedgestorageandcomputingframeworkforambientnoiseseismicinterferometryusinginternetofthingsbasedsensornetworks AT josephsolomanthangraj theedgeofexplorationanedgestorageandcomputingframeworkforambientnoiseseismicinterferometryusinginternetofthingsbasedsensornetworks AT jaypulliam theedgeofexplorationanedgestorageandcomputingframeworkforambientnoiseseismicinterferometryusinginternetofthingsbasedsensornetworks AT franksepulveda edgeofexplorationanedgestorageandcomputingframeworkforambientnoiseseismicinterferometryusinginternetofthingsbasedsensornetworks AT josephsolomanthangraj edgeofexplorationanedgestorageandcomputingframeworkforambientnoiseseismicinterferometryusinginternetofthingsbasedsensornetworks AT jaypulliam edgeofexplorationanedgestorageandcomputingframeworkforambientnoiseseismicinterferometryusinginternetofthingsbasedsensornetworks |