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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MDPI AG
2020-09-01
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Series: | Sensors |
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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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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T16:22:53Z |
publishDate | 2020-09-01 |
publisher | MDPI AG |
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series | Sensors |
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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