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

Simple item page
dc.contributor.authorAbdelhafidh, Maroua
dc.contributor.authorFourati, Mohamed
dc.contributor.authorFourati, Lamia Chaari
dc.contributor.authorMnaouer, Adel Ben
dc.contributor.authorZid, Mokhtar
dc.date.accessioned2020-02-02T21:14:31Z
dc.date.available2020-02-02T21:14:31Z
dc.date.copyright2019en_US
dc.date.issued2019
dc.descriptionThis 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.abstractWireless 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.identifier.citationAbdelhafidh, 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.2019.8885808en_US
dc.identifier.isbn9781538676462
dc.identifier.issn15253511
dc.identifier.urihttp://dx.doi.org/10.1109/WCNC.2019.8885808
dc.identifier.urihttp://hdl.handle.net/20.500.12519/102
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relationAuthors 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.ispartofseriesIEEE Wireless Communications and Networking Conference, WCNC;2019-April
dc.rightsPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holderCopyright : 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.
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html
dc.subjectData aggregationen_US
dc.subjectData fusionen_US
dc.subjectDempster-Shafer evidence theoryen_US
dc.subjectIndustrial wireless sensor networken_US
dc.subjectNetwork lifetimeen_US
dc.subjectWater Pipeline monitoringen_US
dc.subjectData handlingen_US
dc.subjectEnergy efficiencyen_US
dc.subjectEnergy utilizationen_US
dc.subjectPipelinesen_US
dc.subjectSensor data fusionen_US
dc.subjectSensor nodesen_US
dc.subjectStructural health monitoring (SHM)en_US
dc.subjectWater pipelinesen_US
dc.subjectDempster Shafer evidence theoryen_US
dc.subjectIndustrial wireless sensor networksen_US
dc.subjectNetwork lifetimeen_US
dc.subjectPipeline monitoringen_US
dc.subjectMonitoringen_US
dc.titleNovel data preprocessing algorithm for WSN lifetime maximization in water pipeline monitoring systemen_US
dc.typeConference Paperen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Access Instruction 102.pdf
Size:
102.51 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Department of Computer Engineering and Computational Sciences