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

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ID: 261434
2020
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Abstrak
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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Penulis Valery Nkemeni;Fabien Mieyeville;Pierre Tsafack;Nkemeni, Valery;Mieyeville, Fabien;Tsafack, Pierre;
Jurnal sensors
Tahun 2020
DOI
10.3390/s20185204
URL
https://www.mdpi.com/1424-8220/20/18/5204
Kata Kunci
Wireless sensor networks distributed computing distributed kalman filter water pipeline monitoring distributed data fusion

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