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      A Proposed Scalable Design and Simulation of Wireless Sensor Network-Based Long-Distance Water Pipeline Leakage Monitoring System

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          Abstract

          Anomalies such as leakage and bursts in water pipelines have severe consequences for the environment and the economy. To ensure the reliability of water pipelines, they must be monitored effectively. Wireless Sensor Networks (WSNs) have emerged as an effective technology for monitoring critical infrastructure such as water, oil and gas pipelines. In this paper, we present a scalable design and simulation of a water pipeline leakage monitoring system using Radio Frequency IDentification (RFID) and WSN technology. The proposed design targets long-distance aboveground water pipelines that have special considerations for maintenance, energy consumption and cost. The design is based on deploying a group of mobile wireless sensor nodes inside the pipeline and allowing them to work cooperatively according to a prescheduled order. Under this mechanism, only one node is active at a time, while the other nodes are sleeping. The node whose turn is next wakes up according to one of three wakeup techniques: location-based, time-based and interrupt-driven. In this paper, mathematical models are derived for each technique to estimate the corresponding energy consumption and memory size requirements. The proposed equations are analyzed and the results are validated using simulation.

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          Signal Detection and Estimation

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            A New Method for Detecting Leaks in Underground Water Pipelines

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              PIPENET: A wireless sensor network for pipeline monitoring

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                Molecular Diversity Preservation International (MDPI)
                1424-8220
                February 2014
                20 February 2014
                : 14
                : 2
                : 3557-3577
                Affiliations
                [1 ] Department of Computer Engineering, King Saud University, Riyadh 11421, Saudi Arabia; E-Mails: mazyad@ 123456ksu.edu.sa (A.S.A.); yseddiq@ 123456kacst.edu.sa (Y.M.S.); alzpen@ 123456hotmail.com (A.M.A.); al_nasheri@ 123456yahoo.com (A.Y.A.)
                [2 ] National Center for Electronics, Communications and Photonics Research, King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia; E-Mails: mbensaleh@ 123456kacst.edu.sa (M.B.S.); obeid@ 123456kacst.edu.sa (A.M.O.)
                Author notes

                Author Contributions All authors contributed equally to this work.

                [* ] Author to whom correspondence should be addressed; E-Mail: mqasim@ 123456kacst.edu.sa ; Tel.: +966-11-488-3555 (ext. 7676); Fax: +966-11-481-4572.
                Article
                sensors-14-03557
                10.3390/s140203557
                3958258
                24561404
                9a70d6c5-0229-41f6-ae2a-1bc1a97dd4b5
                © 2014 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 29 October 2013
                : 27 January 2014
                : 07 February 2014
                Categories
                Article

                Biomedical engineering
                energy-efficient,leakage detection,pipeline monitoring,rfid,simulation,wakeup techniques,wireless sensor network (wsn)

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