A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring

Wireless Sensor Network (WSN) applications that favor more local computations and less communication can contribute to solving the problem of high power consumption and performance issues plaguing most centralized WSN applications. In this study, we present a fully distributed solution, where leaks...

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Main Authors: Valery Nkemeni, Fabien Mieyeville, Pierre Tsafack
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/18/5204
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author Valery Nkemeni
Fabien Mieyeville
Pierre Tsafack
author_facet Valery Nkemeni
Fabien Mieyeville
Pierre Tsafack
author_sort Valery Nkemeni
collection DOAJ
description Wireless Sensor Network (WSN) applications that favor more local computations and less communication can contribute to solving the problem of high power consumption and performance issues plaguing most centralized WSN applications. In this study, we present a fully distributed solution, where leaks are detected in a water distribution network via only local collaborations between a sensor node and its close neighbors, without the need for long-distance transmissions via several hops to a centralized fusion center. A complete approach that includes the design, simulation, and physical measurements, showing how distributed computing implemented via a distributed Kalman filter improves the accuracy of leak detection and the power consumption is presented. The results from the physical implementation show that distributed data fusion increases the accuracy of leak detection while preserving WSN lifetime.
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spelling doaj.art-c99b78574cc04cc3b2bb467b4b1e972f2023-11-20T13:30:41ZengMDPI AGSensors1424-82202020-09-012018520410.3390/s20185204A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline MonitoringValery Nkemeni0Fabien Mieyeville1Pierre Tsafack2Université Claude Bernard Lyon 1, Ampère-CNRS UMR5005, F-69621 Villeurbanne, FranceUniversité Claude Bernard Lyon 1, Ampère-CNRS UMR5005, F-69621 Villeurbanne, FranceUniversity of Buea, Faculty of Engineering and Technology, P.O. Box 63 Buea, CameroonWireless Sensor Network (WSN) applications that favor more local computations and less communication can contribute to solving the problem of high power consumption and performance issues plaguing most centralized WSN applications. In this study, we present a fully distributed solution, where leaks are detected in a water distribution network via only local collaborations between a sensor node and its close neighbors, without the need for long-distance transmissions via several hops to a centralized fusion center. A complete approach that includes the design, simulation, and physical measurements, showing how distributed computing implemented via a distributed Kalman filter improves the accuracy of leak detection and the power consumption is presented. The results from the physical implementation show that distributed data fusion increases the accuracy of leak detection while preserving WSN lifetime.https://www.mdpi.com/1424-8220/20/18/5204distributed computingwireless sensor networksdistributed Kalman filterwater pipeline monitoringdistributed data fusion
spellingShingle Valery Nkemeni
Fabien Mieyeville
Pierre Tsafack
A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring
Sensors
distributed computing
wireless sensor networks
distributed Kalman filter
water pipeline monitoring
distributed data fusion
title A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring
title_full A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring
title_fullStr A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring
title_full_unstemmed A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring
title_short A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring
title_sort distributed computing solution based on distributed kalman filter for leak detection in wsn based water pipeline monitoring
topic distributed computing
wireless sensor networks
distributed Kalman filter
water pipeline monitoring
distributed data fusion
url https://www.mdpi.com/1424-8220/20/18/5204
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