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Mobile and Ubiquitous Systems: Computing, Networking and Services. 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings

Research Article

R-MDP: A Game Theory Approach for Fault-Tolerant Data and Service Management in Crude Oil Pipelines Monitoring Systems

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-34776-4_3,
        author={Safuriyawu Ahmed and Fr\^{e}d\^{e}ric Le Mou\`{\i}l and Nicolas Stouls and Jilles S. Dibangoye},
        title={R-MDP: A Game Theory Approach for Fault-Tolerant Data and Service Management in Crude Oil Pipelines Monitoring Systems},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking and Services. 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings},
        proceedings_a={MOBIQUITOUS},
        year={2023},
        month={6},
        keywords={pipeline monitoring iot wsn game theory crude oil data analytics},
        doi={10.1007/978-3-031-34776-4_3}
    }
    
  • Safuriyawu Ahmed
    Frédéric Le Mouël
    Nicolas Stouls
    Jilles S. Dibangoye
    Year: 2023
    R-MDP: A Game Theory Approach for Fault-Tolerant Data and Service Management in Crude Oil Pipelines Monitoring Systems
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-031-34776-4_3
Safuriyawu Ahmed1,*, Frédéric Le Mouël1, Nicolas Stouls1, Jilles S. Dibangoye1
  • 1: Univ Lyon, INSA Lyon, Inria, CITI, EA3720
*Contact email: safuriyawu.ahmed@insa-lyon.fr

Abstract

Failures in pipeline transportation of crude oil have numerous adverse effects, such as ecological degradation, environmental pollution and a decrease in revenue for the operators, to mention a few. Efficient data and service management can predict and prevent these failures, reducing the downtime of the pipeline infrastructure, among other benefits. Thus, we propose a two-stage approach to data and service management in Leakage Detection and Monitoring Systems (LDMS) for crude oil pipelines. It aims to maximise the accuracy of leakage detection and localisation in a fault-tolerant and energy-efficient manner. The problem is modelled as a Markov Decision Process (MDP) based on the historical incident data from the Nigerian National Petroleum Corporation (NNPC) pipeline networks. Results obtained guarantee detection in at least two deployed nodes with a minimum localisation accuracy of( 90\% ). Additionally, we achieved approximately( 77\% )and( 26\% )reduction in energy consumption compared to a pessimistic strategy and a globalised heuristic approach, respectively.

Keywords
pipeline monitoring iot wsn game theory crude oil data analytics
Published
2023-06-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-34776-4_3
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