Abstract
The performance of wireless sensor networks (WSNs) in
industrial applications may be degraded due to harsh
radio signal propagation conditions. Mobile heavy
machines and large metal and concrete surfaces usually
worsen the signal fading effects resulting in deep fades.
We have studied the effects of certain industrial
environmental disturbances on the quality of the
transmitted signals in real-life industrial environments.
We used software defined radio (SDR) as the receiver to
capture the transmitted signals and analyzed the
statistical properties of the captured signals with
Matlab/Simulink tools. Our studies led us to a method
which aims to identify the transmission problems related
to signal multipath propagation by calculating the
probability density function (PDF) of the received signal
and comparing it to the simulated theoretical Rician
distributions. The results show that tracking the
transformations of the PDF of the received signal helps
to recognize the temporal changes in radio link
environment and in that way can help to choose the right
actions in order to overcome the communication problems
Original language | English |
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Title of host publication | International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2014) |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Number of pages | 7 |
ISBN (Print) | 978-1-4799-5745-3 |
DOIs | |
Publication status | Published - 2014 |
MoE publication type | A4 Article in a conference publication |
Event | International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2014 - Monterey, CA, United States Duration: 6 Jul 2014 → 10 Jul 2014 |
Conference
Conference | International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2014 |
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Country/Territory | United States |
City | Monterey, CA |
Period | 6/07/14 → 10/07/14 |
Keywords
- industrial measurements
- radio disturbances
- Rician density
- software defined radio
- wireless sensor networks