The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks
Abstract
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.
- Publication Date:
- Research Org.:
- Baylor Univ., Waco, TX (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office
- OSTI Identifier:
- 1867294
- Alternate Identifier(s):
- OSTI ID: 1904789
- Grant/Contract Number:
- FOA DE-FOA-0001445; EE0007699; FOA-0001445
- Resource Type:
- Published Article
- Journal Name:
- Sensors
- Additional Journal Information:
- Journal Name: Sensors Journal Volume: 22 Journal Issue: 10; Journal ID: ISSN 1424-8220
- Publisher:
- MDPI AG
- Country of Publication:
- Switzerland
- Language:
- English
- Subject:
- 58 GEOSCIENCES; Chemistry; Engineering; Instruments & Instrumentation; Ambient noise seismic interferometry; Apache Cassandra; Datastax enterprise; Edge computing; Edge storage; Internet of Things (IoT); Raspberry pi; Sensor networks
Citation Formats
Sepulveda, Frank, Thangraj, Joseph Soloman, and Pulliam, Jay. The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks. Switzerland: N. p., 2022.
Web. doi:10.3390/s22103615.
Sepulveda, Frank, Thangraj, Joseph Soloman, & Pulliam, Jay. The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks. Switzerland. https://doi.org/10.3390/s22103615
Sepulveda, Frank, Thangraj, Joseph Soloman, and Pulliam, Jay. Tue .
"The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks". Switzerland. https://doi.org/10.3390/s22103615.
@article{osti_1867294,
title = {The Edge of Exploration: An Edge Storage and Computing Framework for Ambient Noise Seismic Interferometry Using Internet of Things Based Sensor Networks},
author = {Sepulveda, Frank and Thangraj, Joseph Soloman and Pulliam, Jay},
abstractNote = {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.},
doi = {10.3390/s22103615},
journal = {Sensors},
number = 10,
volume = 22,
place = {Switzerland},
year = {Tue May 10 00:00:00 EDT 2022},
month = {Tue May 10 00:00:00 EDT 2022}
}
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