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Novel data preprocessing algorithm for WSN lifetime maximization in water pipeline monitoring system

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dc.contributor.author Abdelhafidh, Maroua
dc.contributor.author Fourati, Mohamed
dc.contributor.author Fourati, Lamia Chaari
dc.contributor.author Mnaouer, Adel Ben
dc.contributor.author Zid, Mokhtar
dc.date.accessioned 2020-02-02T21:14:31Z
dc.date.available 2020-02-02T21:14:31Z
dc.date.copyright 2019 en_US
dc.date.issued 2019
dc.identifier.citation Abdelhafidh, M., Fourati, M., Fourati, L. C., Ben Mnaouer, A., & Zid, M. (2019). Novel data preprocessing algorithm for WSN lifetime maximization in water pipeline monitoring system. In IEEE Wireless Communications and Networking Conference, WCNC (Vol. 2019–April). https://doi.org/10.1109/WCNC.2019.8885808 en_US
dc.identifier.isbn 9781538676462
dc.identifier.issn 15253511
dc.identifier.uri http://dx.doi.org/10.1109/WCNC.2019.8885808
dc.identifier.uri http://hdl.handle.net/20.500.12519/102
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2019 IEEE Wireless Communications and Networking Conference (WCNC) (2019), available online at: https://doi.org/10.1109/WCNC.2019.8885808. en_US
dc.description.abstract Wireless Sensor Networks (WSN) are widely deployed to maintain Structural Health Monitoring of Water Pipeline System (WPS). Accordingly, it is imperatively important to ensure reliable communication between sensor nodes deployed in harsh environment to allow a continuous data collection and processing. In this context, we propose and implement an energy efficient solution that enables a seamless interconnection between sensor nodes, and trusty data transmission in order to maximize the network lifetime. After a clustering step, a Data Redundancy Elimination technique is applied to remove redundant data at each cluster head. This operation is followed by a data fusion algorithm based on Dempster-Shafer evidence theory at the Base Station. This scheme is proposed with aim of reducing the size of data carried by the network and consequently save on energy consumption. This results in improved WSN lifetime and more accurate WPS systems. © 2019 IEEE. en_US
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; 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; Zid, M., Research Direction of Tunisian Chemical Group, Gafsa, Tunisia
dc.relation.ispartofseries IEEE Wireless Communications and Networking Conference, WCNC;2019-April
dc.rights Permission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.uri https://www.ieee.org/publications/rights/rights-policies.html
dc.subject Data aggregation en_US
dc.subject Data fusion en_US
dc.subject Dempster-Shafer evidence theory en_US
dc.subject Industrial wireless sensor network en_US
dc.subject Network lifetime en_US
dc.subject Water Pipeline monitoring en_US
dc.subject Data handling en_US
dc.subject Energy efficiency en_US
dc.subject Energy utilization en_US
dc.subject Pipelines en_US
dc.subject Sensor data fusion en_US
dc.subject Sensor nodes en_US
dc.subject Structural health monitoring (SHM) en_US
dc.subject Water pipelines en_US
dc.subject Dempster Shafer evidence theory en_US
dc.subject Industrial wireless sensor networks en_US
dc.subject Network lifetime en_US
dc.subject Pipeline monitoring en_US
dc.subject Monitoring en_US
dc.title Novel data preprocessing algorithm for WSN lifetime maximization in water pipeline monitoring system en_US
dc.type Conference Paper en_US
dc.rights.holder Copyright : 2019 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.


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