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

Sensors

Pierre Tsafack¹  Valery Nkemeni²  Fabien Mieyeville² 

[1] University of Buea, Faculty of Engineering and Technology, P.O. Box 63 Buea, Cameroon;Université Claude Bernard Lyon 1, Ampère-CNRS UMR5005, F-69621 Villeurbanne, France;

关键词: distributed computing;    wireless sensor networks;    distributed Kalman filter;    water pipeline monitoring;    distributed data fusion;   

DOI  :  10.3390/s20185204

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown