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Intelligent IoT- and UAV-Assisted Architecture for Pipeline Monitoring in OGI

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Intelligent IoT- and UAV-Assisted Architecture for Pipeline Monitoring in OGI. / Karam, Sana Nasim; Bilal, Kashif; Shuja, Junaid et al.
In: IT Professional, Vol. 26, No. 3, 26.06.2024, p. 46-54.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Karam, SN, Bilal, K, Shuja, J, Khan, LU, Bilal, M & Khan, MK 2024, 'Intelligent IoT- and UAV-Assisted Architecture for Pipeline Monitoring in OGI', IT Professional, vol. 26, no. 3, pp. 46-54. https://doi.org/10.1109/mitp.2023.3339448

APA

Karam, S. N., Bilal, K., Shuja, J., Khan, L. U., Bilal, M., & Khan, M. K. (2024). Intelligent IoT- and UAV-Assisted Architecture for Pipeline Monitoring in OGI. IT Professional, 26(3), 46-54. https://doi.org/10.1109/mitp.2023.3339448

Vancouver

Karam SN, Bilal K, Shuja J, Khan LU, Bilal M, Khan MK. Intelligent IoT- and UAV-Assisted Architecture for Pipeline Monitoring in OGI. IT Professional. 2024 Jun 26;26(3):46-54. doi: 10.1109/mitp.2023.3339448

Author

Karam, Sana Nasim ; Bilal, Kashif ; Shuja, Junaid et al. / Intelligent IoT- and UAV-Assisted Architecture for Pipeline Monitoring in OGI. In: IT Professional. 2024 ; Vol. 26, No. 3. pp. 46-54.

Bibtex

@article{11404f285aaa434ba0757a7da651fee6,
title = "Intelligent IoT- and UAV-Assisted Architecture for Pipeline Monitoring in OGI",
abstract = "With the advent of the Internet of Things (IoT) and unmanned aerial vehicles (UAVs) in industrial application scenarios, oil and gas industry (OGI) automation is undergoing a remarkable transformation. Existing monitoring methods like IoT sensor-based surveillance offer accuracy but struggle with transmission inefficiency. Conversely, UAV-based surveillance enables seamless communication but limited sensing capabilities. This article addresses the challenges of latency, energy efficiency, and cost in state-of-the-art leakage detection technologies for OGI pipelines. A three-tier architecture is proposed, integrating IoT, UAVs, and artificial intelligence-empowered edge computing to enhance pipeline surveillance. We aim to propose specialized routingthat addresses IoT energy and fault tolerance issues, while UAVs act as relays totransmit data efficiently to control centers, considering factors like UAV energy and data complexity. Intelligent edge services optimize data transmission, prolong UAV lifespan, and manage latency. Various use cases are explored, and open research challenges with potential solutions are presented.",
author = "Karam, {Sana Nasim} and Kashif Bilal and Junaid Shuja and Khan, {Latif U.} and Muhammad Bilal and Khan, {Muhammad Khurram}",
year = "2024",
month = jun,
day = "26",
doi = "10.1109/mitp.2023.3339448",
language = "English",
volume = "26",
pages = "46--54",
journal = "IT Professional",
issn = "1520-9202",
publisher = "IEEE Computer Society",
number = "3",

}

RIS

TY - JOUR

T1 - Intelligent IoT- and UAV-Assisted Architecture for Pipeline Monitoring in OGI

AU - Karam, Sana Nasim

AU - Bilal, Kashif

AU - Shuja, Junaid

AU - Khan, Latif U.

AU - Bilal, Muhammad

AU - Khan, Muhammad Khurram

PY - 2024/6/26

Y1 - 2024/6/26

N2 - With the advent of the Internet of Things (IoT) and unmanned aerial vehicles (UAVs) in industrial application scenarios, oil and gas industry (OGI) automation is undergoing a remarkable transformation. Existing monitoring methods like IoT sensor-based surveillance offer accuracy but struggle with transmission inefficiency. Conversely, UAV-based surveillance enables seamless communication but limited sensing capabilities. This article addresses the challenges of latency, energy efficiency, and cost in state-of-the-art leakage detection technologies for OGI pipelines. A three-tier architecture is proposed, integrating IoT, UAVs, and artificial intelligence-empowered edge computing to enhance pipeline surveillance. We aim to propose specialized routingthat addresses IoT energy and fault tolerance issues, while UAVs act as relays totransmit data efficiently to control centers, considering factors like UAV energy and data complexity. Intelligent edge services optimize data transmission, prolong UAV lifespan, and manage latency. Various use cases are explored, and open research challenges with potential solutions are presented.

AB - With the advent of the Internet of Things (IoT) and unmanned aerial vehicles (UAVs) in industrial application scenarios, oil and gas industry (OGI) automation is undergoing a remarkable transformation. Existing monitoring methods like IoT sensor-based surveillance offer accuracy but struggle with transmission inefficiency. Conversely, UAV-based surveillance enables seamless communication but limited sensing capabilities. This article addresses the challenges of latency, energy efficiency, and cost in state-of-the-art leakage detection technologies for OGI pipelines. A three-tier architecture is proposed, integrating IoT, UAVs, and artificial intelligence-empowered edge computing to enhance pipeline surveillance. We aim to propose specialized routingthat addresses IoT energy and fault tolerance issues, while UAVs act as relays totransmit data efficiently to control centers, considering factors like UAV energy and data complexity. Intelligent edge services optimize data transmission, prolong UAV lifespan, and manage latency. Various use cases are explored, and open research challenges with potential solutions are presented.

U2 - 10.1109/mitp.2023.3339448

DO - 10.1109/mitp.2023.3339448

M3 - Journal article

VL - 26

SP - 46

EP - 54

JO - IT Professional

JF - IT Professional

SN - 1520-9202

IS - 3

ER -