2022
DOI: 10.3390/computation10040055
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of the Leak Detection Performance of Distributed Kalman Filter Algorithms in WSN-Based Water Pipeline Monitoring of Plastic Pipes

Abstract: Water is a basic necessity and one of the most valuable resources for human living. Sadly, large quantities of treated water get lost daily worldwide, especially in developing countries, through leaks in the water distribution network. Wireless sensor network-based water pipeline monitoring (WWPM) systems using low-cost micro-electro-mechanical systems (MEMS) accelerometers have become popular for real-time leak detection due to their low-cost and low power consumption, but they are plagued with high false ala… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(6 citation statements)
references
References 35 publications
0
6
0
Order By: Relevance
“…The performance of different classes of DKFs used in a WSN have been evaluated and compared in [45]. From [45], we selected three DKFs in which we evaluated their leak detection performance in the context of WWPM systems in [46]. The three DKFs were selected from data fusion strategies-specifically, diffusion, gossip, and consensus.…”
Section: Scenariomentioning
confidence: 99%
See 4 more Smart Citations
“…The performance of different classes of DKFs used in a WSN have been evaluated and compared in [45]. From [45], we selected three DKFs in which we evaluated their leak detection performance in the context of WWPM systems in [46]. The three DKFs were selected from data fusion strategies-specifically, diffusion, gossip, and consensus.…”
Section: Scenariomentioning
confidence: 99%
“…The consensus-based DKF selected was the Information-Weighted Consensus Filter (ICF) proposed by Kamal et al [47], the gossip-based DKF selected was the Sample Greedy Gossip Information-Weighted Consensus Filter (SGG-ICF) proposed by Shin et al [48], and the selected diffusion-based DKF was the Event-triggered Diffusion-based Kalman Filter (EDKF) proposed by Battistelli et al [49]. In [46], we presented the algorithms, operation and detailed explanations for the choice of the selected DKFs. Table 3 provides a summary of the values of the parameters assigned to the various DKF algorithms.…”
Section: Scenariomentioning
confidence: 99%
See 3 more Smart Citations