Cognitive internet of things for smart water pipeline monitoring system

dc.contributor.advisor Permission to reuse the abstract has been secured from the Publisher. en_US
dc.contributor.author Abdelhafidh, Maroua
dc.contributor.author Mohamed, Fourati
dc.contributor.author Fourati, Lamia Chaari
dc.contributor.author Mnaouer, Adel Ben
dc.contributor.author Mokhtar, Zid
dc.date.accessioned 2020-02-09T09:32:21Z
dc.date.available 2020-02-09T09:32:21Z
dc.date.copyright 2018
dc.date.issued 2019
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications (DS-RT) (2018), available online at: https://ieeexplore.ieee.org/document/8600999. en_US
dc.description.abstract Water Pipeline Monitoring System (WPMS) is extremely important considering the several pipeline damages and the various hydraulic failures that cause a critical water loss. In this context, Cognitive Water Distribution System integrates Internet of Things (IoT) technology, based on smart sensors, actuators and connected objects, with a reliable Big Data processing for smart and robust Structural Health Monitoring (SHM) of pipelines. In this paper, we propose a cognitive IoT-based architecture where we used Apache Spark framework to maintain a real time processing of the large amount of collected data. This efficient processing of measured data and its correspondent calculated values simplify the transient simulations and leak detection and make it faster and easier. © 2018 IEEE. en_US
dc.identifier.citation Abdelhafidh, M., Fourati, M., Fourati, L. C., Ben Mnaouer, A., & Mokhtar, Z. (2019). Cognitive Internet of Things for Smart Water Pipeline Monitoring System. In Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018 (pp. 212–219). https://doi.org/10.1109/DISTRA.2018.8600999 en_US
dc.identifier.isbn 9781538650486
dc.identifier.uri http://dx.doi.org/10.1109/DISTRA.2018.8600999
dc.identifier.uri https://hdl.handle.net/20.500.12519/113
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation Authors Affiliations: Abdelhafidh, M., Laboratory of Technology of Smart Systems (LT2S), Tunisia, Digital Research Center of Sfax, University of Sfax, B.P. 275, Sakiet Ezzit, Sfax, 3021, Tunisia, National Engineering School of Sfax, University of Sfax, Tunisia; Fourati, M., Laboratory of Technology of Smart Systems (LT2S), Tunisia, Digital Research Center of Sfax, University of Sfax, B.P. 275, Sakiet Ezzit, Sfax, 3021, Tunisia; Fourati, L.C., Laboratory of Technology of Smart Systems (LT2S), Tunisia, Digital Research Center of Sfax, University of Sfax, B.P. 275, Sakiet Ezzit, Sfax, 3021, Tunisia; Ben Mnaouer, A., Canadian University of Dubai (CUD), United Arab Emirates; Mokhtar, Z., Research Center Gasfa Chemical Group (SIAPE), Gafsa, Tunisia
dc.relation.ispartofseries Proceedings of the 2018 IEEE/ACM 22nd International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2018;
dc.rights Permission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holder Copyright : 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.uri https://www.ieee.org/publications/rights/rights-policies.html
dc.subject Big data en_US
dc.subject Cognitive IoT en_US
dc.subject Simulation en_US
dc.subject Water Monitoring System en_US
dc.subject Data handling en_US
dc.subject Leak detection en_US
dc.subject Monitoring en_US
dc.subject Pipeline processing systems en_US
dc.subject Pipelines en_US
dc.subject Structural health monitoring (SHM) en_US
dc.subject Water distribution systems en_US
dc.subject Water pipelines en_US
dc.subject Internet of Things (IoT) en_US
dc.subject Pipeline monitoring en_US
dc.subject Realtime processing en_US
dc.subject Simulation en_US
dc.subject Transient simulation en_US
dc.subject Water monitoring systems en_US
dc.title Cognitive internet of things for smart water pipeline monitoring system en_US
dc.type Conference Paper en_US
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