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Article

PIPENETa wireless sensor network for pipeline monitoring

Authors:

Timur TokmoulineAuthors Info & Claims

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

Pages 264 - 273

https://doi.org/10.1145/1236360.1236396

Published: 25 April 2007 Publication History

Abstract

US water utilities are faced with mounting operational and maintenance costs as a result of aging pipeline infrastructures. Leaks and ruptures in water supply pipelines and blockages and overflow events in sewer collectors cost millions of dollars a year, and monitoring and repairing this underground infrastructure presents a severe challenge. In this paper, we discuss how wireless sensor networks (WSNs) can increase the spatial and temporal resolution of operational data from pipeline infrastructures and thus address the challenge of near real-time monitoring and eventually control. We focus on the use of WSNs for monitoring large diameter bulk-water transmission pipelines. We outline a system, PipeNet, we have been developing for collecting hydraulic and acoustic/vibration data at high sampling rates as well as algorithms for analyzing this data to detect and locate leaks. Challenges include sampling at high data rates, maintaining aggressive duty cycles, and ensuring tightly time-synchronized data collection, all under a strict power budget. We have carried out an extensive field trial with Boston Water and Sewer Commission in order to evaluate some of the critical components of PipeNet. Along with the results of this preliminary trial, we describe the results of extensive laboratory experiments which are used to evaluate our analysis and data processing solutions. Our prototype deployment has led to the development of a reusable, field-reprogrammable software infrastructure for distributed high-rate signal processing in wireless sensor networks, which we also describe.

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Cited By

Caruso PIacono SCaro DPaciello V(2024)Pipeline Characterization for Communication Channel Properties ImprovementIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2024.337429973(1-10)Online publication date: 2024
https://doi.org/10.1109/TIM.2024.3374299
Zhang PHe JHuang WZhang JYuan YChen BYang ZXiao YYuan YWu CCui HZhang L(2023)Water Pipeline Leak Detection Based on a Pseudo-Siamese Convolutional Neural Network: Integrating Handcrafted Features and Deep RepresentationsWater10.3390/w1506108815:6(1088)Online publication date: 12-Mar-2023
https://doi.org/10.3390/w15061088
Gupta AChauhan APuri VNagi NSingh TSingh ASingh M(2023)Drop Count:An Efficient Application To Preserve Water Wastage2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)10.1109/ICAC3N60023.2023.10541550(943-948)Online publication date: 15-Dec-2023
https://doi.org/10.1109/ICAC3N60023.2023.10541550
Show More Cited By

Index Terms

PIPENETa wireless sensor network for pipeline monitoring
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

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Published In

cover image ACM Conferences

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

April 2007

592 pages

ISBN:9781595936387

DOI:10.1145/1236360

General Chair:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign
,
Program Chairs:
Leo Guibas
Stanford University
,
Matt Welsh
Harvard University

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 April 2007

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IPSN07

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IPSN07: The 6th International Conference on Information Processing in Sensor Networks

April 25 - 27, 2007

Massachusetts, Cambridge, USA

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

Caruso PIacono SCaro DPaciello V(2024)Pipeline Characterization for Communication Channel Properties ImprovementIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2024.337429973(1-10)Online publication date: 2024
https://doi.org/10.1109/TIM.2024.3374299
Zhang PHe JHuang WZhang JYuan YChen BYang ZXiao YYuan YWu CCui HZhang L(2023)Water Pipeline Leak Detection Based on a Pseudo-Siamese Convolutional Neural Network: Integrating Handcrafted Features and Deep RepresentationsWater10.3390/w1506108815:6(1088)Online publication date: 12-Mar-2023
https://doi.org/10.3390/w15061088
Gupta AChauhan APuri VNagi NSingh TSingh ASingh M(2023)Drop Count:An Efficient Application To Preserve Water Wastage2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)10.1109/ICAC3N60023.2023.10541550(943-948)Online publication date: 15-Dec-2023
https://doi.org/10.1109/ICAC3N60023.2023.10541550
Shafique TGantassi RSoliman AAmjad AHui ZChoi Y(2023)A Review of Energy Hole Mitigating Techniques in Multi-Hop Many to One Communication and its Significance in IoT Oriented Smart City InfrastructureIEEE Access10.1109/ACCESS.2023.332731111(121340-121367)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3327311
Sourabh NTimbadiya PPatel P(2023)Leak detection in water distribution network using machine learning techniquesISH Journal of Hydraulic Engineering10.1080/09715010.2023.219898829:sup1(177-195)Online publication date: 12-Apr-2023
https://doi.org/10.1080/09715010.2023.2198988
Athinarayanan HSelvam M(2023)Multi Energy-Harvesting Smart Water Meter Design for Underground Water Pipeline Leakage DetectionInventive Systems and Control10.1007/978-981-99-1624-5_7(95-111)Online publication date: 15-Jun-2023
https://doi.org/10.1007/978-981-99-1624-5_7
Dziri JEzzedine T(2023)Smart Control of Drinking Water Grids Using IoTThe Ethics of Artificial Intelligence for the Sustainable Development Goals10.1007/978-3-031-21147-8_17(305-325)Online publication date: 4-May-2023
https://doi.org/10.1007/978-3-031-21147-8_17
Bakhtawar BZayed T(2023)State‐of‐the‐art review of leak diagnostic experiments: Toward a smart water networkWIREs Water10.1002/wat2.166710:5Online publication date: 30-May-2023
https://doi.org/10.1002/wat2.1667
Alhomyani HFadel MDimitriou NBakhsh HAldabbagh GAlkhuraiji S(2022)Multi-Hop Routing Protocols for Oil Pipeline Leak Detection SystemsElectronics10.3390/electronics1113207811:13(2078)Online publication date: 2-Jul-2022
https://doi.org/10.3390/electronics11132078
Bakhtiar SKhan FRahman WKhan AAhmad MIqbal M(2022)A Pressure-Based Electromagnetic Energy Harvester for Pipeline Monitoring ApplicationsJournal of Sensors10.1155/2022/65296232022(1-16)Online publication date: 8-Jun-2022
https://doi.org/10.1155/2022/6529623
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