Abdelhafidh, MarouaFourati, MohamedFourati, Lamia ChaariMnaouer, Adel BenZid, Mokhtar2020-02-022020-02-0220192019Abdelhafidh, 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.2019.8885808978153867646215253511http://dx.doi.org/10.1109/WCNC.2019.8885808http://hdl.handle.net/20.500.12519/102This 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.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.enPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.Data aggregationData fusionDempster-Shafer evidence theoryIndustrial wireless sensor networkNetwork lifetimeWater Pipeline monitoringData handlingEnergy efficiencyEnergy utilizationPipelinesSensor data fusionSensor nodesStructural health monitoring (SHM)Water pipelinesDempster Shafer evidence theoryIndustrial wireless sensor networksNetwork lifetimePipeline monitoringMonitoringConference PaperCopyright : 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.