Mobile Sensor Networks for Leak and Backflow Detection in Water Distribution Systems

Handle URI:
http://hdl.handle.net/10754/362475
Title:
Mobile Sensor Networks for Leak and Backflow Detection in Water Distribution Systems
Authors:
Suresh, M. Agumbe; Smith, L.; Rasekh, A.; Stoleru, R.; Banks, M.K.; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
Leak and backflow detection are essential aspects of Water Distribution System (WDS) monitoring. Most existing solutions for leak/backflow detection in WDSs focus on the placement of expensive static sensors located strategically. In contrast to these, we propose a solution whereby mobile sensors (i.e., their movement aided only by the inherent water flow in the system) detect leaks/backflow. Information about the leaks/backflow is collected from the sensors either by physically capturing them, or through wireless communication. Specifically, we propose models to maximize leak/backflow detection given a cost constraint (a limit on the number of sensors). Through extensive simulations, we demonstrate the superior performance of our proposed solution when compared with the state of the art solutions (e.g., algorithms/protocols and analysis).
KAUST Department:
Computer Science Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 IEEE 28th International Conference on Advanced Information Networking and Applications
Conference/Event name:
28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014
Issue Date:
May-2014
DOI:
10.1109/AINA.2014.83
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6838729
Appears in Collections:
Conference Papers; Computer Science Program

Full metadata record

DC FieldValue Language
dc.contributor.authorSuresh, M. Agumbeen
dc.contributor.authorSmith, L.en
dc.contributor.authorRasekh, A.en
dc.contributor.authorStoleru, R.en
dc.contributor.authorBanks, M.K.en
dc.contributor.authorShihada, Basemen
dc.date.accessioned2015-04-09T06:33:34Zen
dc.date.available2015-04-09T06:33:34Zen
dc.date.issued2014-05en
dc.identifier.doi10.1109/AINA.2014.83en
dc.identifier.urihttp://hdl.handle.net/10754/362475en
dc.description.abstractLeak and backflow detection are essential aspects of Water Distribution System (WDS) monitoring. Most existing solutions for leak/backflow detection in WDSs focus on the placement of expensive static sensors located strategically. In contrast to these, we propose a solution whereby mobile sensors (i.e., their movement aided only by the inherent water flow in the system) detect leaks/backflow. Information about the leaks/backflow is collected from the sensors either by physically capturing them, or through wireless communication. Specifically, we propose models to maximize leak/backflow detection given a cost constraint (a limit on the number of sensors). Through extensive simulations, we demonstrate the superior performance of our proposed solution when compared with the state of the art solutions (e.g., algorithms/protocols and analysis).en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6838729en
dc.rights(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.en
dc.titleMobile Sensor Networks for Leak and Backflow Detection in Water Distribution Systemsen
dc.typeConference Paperen
dc.contributor.departmentComputer Science Programen
dc.identifier.journal2014 IEEE 28th International Conference on Advanced Information Networking and Applicationsen
dc.conference.date13 May 2014 through 16 May 2014en
dc.conference.name28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014en
dc.conference.locationVictoria, BCen
dc.eprint.versionPost-printen
dc.contributor.institutionDepartment of Computer Science and Engineering, Texas A&M Universityen
dc.contributor.institutionDepartment of Civil Engineering, Texas A&M Universityen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorShihada, Basemen
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