Details
| Original language | English |
|---|---|
| Article number | 4107 |
| Number of pages | 26 |
| Journal | Sensors |
| Volume | 24 |
| Issue number | 13 |
| Publication status | Published - 24 Jun 2024 |
Abstract
Wireless sensor networks (WSNs) are attracting increasing research interest due to their ability to monitor large areas independently. Their reliability is a crucial issue, as it is influenced by hardware, data, and energy-related factors such as loading conditions, signal attenuation, and battery lifetime. Proper selection of sensor node positions is essential to maximise system reliability during the development of products equipped with WSNs. For this purpose, this paper presents an approach to estimate WSN system reliability during the development phase based on the analysis of measurements, using strain measurements in finite element (FE) models as an example. The approach involves dividing the part under consideration into regions with similar strains using a region growing algorithm (RGA). The WSN configuration is then analysed for reliability based on data paths and measurement redundancy resulting from the sensor positions in the identified measuring regions. This methodology was tested on an exemplary WSN configuration at an aircraft wing box under bending load and found to effectively estimate the hardware perspective on system reliability. Therefore, the methodology and algorithm show potential for optimising sensor node positions to achieve better reliability results.
Keywords
- finite elements, measurement redundancy, region growing algorithm, strain analysis, system reliability, wireless sensor network
ASJC Scopus subject areas
- Chemistry(all)
- Analytical Chemistry
- Computer Science(all)
- Information Systems
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Biochemistry, Genetics and Molecular Biology(all)
- Biochemistry
- Physics and Astronomy(all)
- Instrumentation
- Engineering(all)
- Electrical and Electronic Engineering
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In: Sensors, Vol. 24, No. 13, 4107, 24.06.2024.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Reliability Assessment of Wireless Sensor Networks by Strain-Based Region Analysis for Redundancy Estimation in Measurements on the Example of an Aircraft Wing Box
AU - Meyer zu Westerhausen, Sören
AU - Raveendran, Gurubaran
AU - Lauth, Thorben Hendrik
AU - Meyer, Ole
AU - Rosemann, Daniel
AU - Wawer, Max Leo
AU - Stauß, Timo
AU - Wurst, Johanna
AU - Lachmayer, Roland
N1 - Publisher Copyright: © 2024 by the authors.
PY - 2024/6/24
Y1 - 2024/6/24
N2 - Wireless sensor networks (WSNs) are attracting increasing research interest due to their ability to monitor large areas independently. Their reliability is a crucial issue, as it is influenced by hardware, data, and energy-related factors such as loading conditions, signal attenuation, and battery lifetime. Proper selection of sensor node positions is essential to maximise system reliability during the development of products equipped with WSNs. For this purpose, this paper presents an approach to estimate WSN system reliability during the development phase based on the analysis of measurements, using strain measurements in finite element (FE) models as an example. The approach involves dividing the part under consideration into regions with similar strains using a region growing algorithm (RGA). The WSN configuration is then analysed for reliability based on data paths and measurement redundancy resulting from the sensor positions in the identified measuring regions. This methodology was tested on an exemplary WSN configuration at an aircraft wing box under bending load and found to effectively estimate the hardware perspective on system reliability. Therefore, the methodology and algorithm show potential for optimising sensor node positions to achieve better reliability results.
AB - Wireless sensor networks (WSNs) are attracting increasing research interest due to their ability to monitor large areas independently. Their reliability is a crucial issue, as it is influenced by hardware, data, and energy-related factors such as loading conditions, signal attenuation, and battery lifetime. Proper selection of sensor node positions is essential to maximise system reliability during the development of products equipped with WSNs. For this purpose, this paper presents an approach to estimate WSN system reliability during the development phase based on the analysis of measurements, using strain measurements in finite element (FE) models as an example. The approach involves dividing the part under consideration into regions with similar strains using a region growing algorithm (RGA). The WSN configuration is then analysed for reliability based on data paths and measurement redundancy resulting from the sensor positions in the identified measuring regions. This methodology was tested on an exemplary WSN configuration at an aircraft wing box under bending load and found to effectively estimate the hardware perspective on system reliability. Therefore, the methodology and algorithm show potential for optimising sensor node positions to achieve better reliability results.
KW - finite elements
KW - measurement redundancy
KW - region growing algorithm
KW - strain analysis
KW - system reliability
KW - wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85198360881&partnerID=8YFLogxK
U2 - 10.3390/s24134107
DO - 10.3390/s24134107
M3 - Article
C2 - 39000886
AN - SCOPUS:85198360881
VL - 24
JO - Sensors
JF - Sensors
SN - 1424-3210
IS - 13
M1 - 4107
ER -