Fog computing for leak detection in on-shore transmission pipelines

Shuaib Mohammed; Farouq Muhammad Aliyu

doi:10.1109/AECT47998.2020.9194193

Fog computing for leak detection in on-shore transmission pipelines

Shuaib Mohammed
, Farouq Muhammad Aliyu

Applied Research Center for Nonprofit and Social Development

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Transmission Pipelines (TP) are large pipelines covering long distances that carry refined petroleum products for production sites to different states, countries, and continents. TPs are high-pressure pipelines, as such, they are subject to failure. Therefore, it is necessary to develop cost-effective techniques to monitor them with near real-time performance. In this paper, a Fog computing based leakage detection system is proposed. The system uses WSN to sense the pipeline while it uses the fog nodes to process and forward sensed data to the cloud. The proposed system, within the limit, is of our experiment reduces the average energy consumption of the sensor nodes in the network by a factor of 100, while the latency ranges from 0.025 s-120s depending on the satellite system used.

Original language	English
Title of host publication	2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728144528
DOIs	https://doi.org/10.1109/AECT47998.2020.9194193
State	Published - Feb 2020

Publication series

Name	2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Fog Computing
Leak Detection
Linear Sensor Networks
Oil and Gas Industry
Pipeline
Wireless Sensor Networks

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Information Systems and Management

Access to Document

10.1109/AECT47998.2020.9194193

Cite this

Mohammed, S., & Aliyu, F. M. (2020). Fog computing for leak detection in on-shore transmission pipelines. In 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019 Article 9194193 (2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AECT47998.2020.9194193

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title = "Fog computing for leak detection in on-shore transmission pipelines",

abstract = "Transmission Pipelines (TP) are large pipelines covering long distances that carry refined petroleum products for production sites to different states, countries, and continents. TPs are high-pressure pipelines, as such, they are subject to failure. Therefore, it is necessary to develop cost-effective techniques to monitor them with near real-time performance. In this paper, a Fog computing based leakage detection system is proposed. The system uses WSN to sense the pipeline while it uses the fog nodes to process and forward sensed data to the cloud. The proposed system, within the limit, is of our experiment reduces the average energy consumption of the sensor nodes in the network by a factor of 100, while the latency ranges from 0.025 s-120s depending on the satellite system used.",

keywords = "Fog Computing, Leak Detection, Linear Sensor Networks, Oil and Gas Industry, Pipeline, Wireless Sensor Networks",

author = "Shuaib Mohammed and Aliyu, \{Farouq Muhammad\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.",

year = "2020",

month = feb,

doi = "10.1109/AECT47998.2020.9194193",

language = "English",

series = "2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019",

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}

Mohammed, S & Aliyu, FM 2020, Fog computing for leak detection in on-shore transmission pipelines. in 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019., 9194193, 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/AECT47998.2020.9194193

Fog computing for leak detection in on-shore transmission pipelines. / Mohammed, Shuaib; Aliyu, Farouq Muhammad.
2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019. Institute of Electrical and Electronics Engineers Inc., 2020. 9194193 (2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Mohammed, Shuaib

AU - Aliyu, Farouq Muhammad

PY - 2020/2

Y1 - 2020/2

N2 - Transmission Pipelines (TP) are large pipelines covering long distances that carry refined petroleum products for production sites to different states, countries, and continents. TPs are high-pressure pipelines, as such, they are subject to failure. Therefore, it is necessary to develop cost-effective techniques to monitor them with near real-time performance. In this paper, a Fog computing based leakage detection system is proposed. The system uses WSN to sense the pipeline while it uses the fog nodes to process and forward sensed data to the cloud. The proposed system, within the limit, is of our experiment reduces the average energy consumption of the sensor nodes in the network by a factor of 100, while the latency ranges from 0.025 s-120s depending on the satellite system used.

AB - Transmission Pipelines (TP) are large pipelines covering long distances that carry refined petroleum products for production sites to different states, countries, and continents. TPs are high-pressure pipelines, as such, they are subject to failure. Therefore, it is necessary to develop cost-effective techniques to monitor them with near real-time performance. In this paper, a Fog computing based leakage detection system is proposed. The system uses WSN to sense the pipeline while it uses the fog nodes to process and forward sensed data to the cloud. The proposed system, within the limit, is of our experiment reduces the average energy consumption of the sensor nodes in the network by a factor of 100, while the latency ranges from 0.025 s-120s depending on the satellite system used.

KW - Fog Computing

KW - Leak Detection

KW - Linear Sensor Networks

KW - Oil and Gas Industry

KW - Pipeline

KW - Wireless Sensor Networks

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U2 - 10.1109/AECT47998.2020.9194193

DO - 10.1109/AECT47998.2020.9194193

M3 - Conference contribution

AN - SCOPUS:85092361976

T3 - 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019

BT - 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Mohammed S, Aliyu FM. Fog computing for leak detection in on-shore transmission pipelines. In 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019. Institute of Electrical and Electronics Engineers Inc. 2020. 9194193. (2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019). doi: 10.1109/AECT47998.2020.9194193

Fog computing for leak detection in on-shore transmission pipelines

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this