Abstract
The reliability of data transmission in Wireless Sensor
Networks (WSN) is always an issue in harsh industrial
environments and sets specific challenges for performance
optimization. Short-term signal disturbances, in the form
of multipath fading and destructive radio interference,
are of major concern due to signal path conditions (large
concrete and metal surfaces), related line-of-sight (LOS)
changes (incoming and outgoing trucks, moving around
forklifts and workers), and radio frequency
interferences. In this paper we introduce the
classification procedure where results of Probability
Density Function (PDF) analysis and Spectrogram Analysis
are combined to classify the measured radio channel
disturbances to a set of predefined disturbance classes.
The PDF and Spectrogram analysis methods are used for
analyzing the statistical properties of the received
signal magnitudes. Tracking the changes of the PDF
clearly contributes to recognize and characterize the
temporal changes, especially LOS changes in the radio
link environment. The spectrogram analysis provides
additional information of the radio interferences on co-
and adjacent channels.
Original language | English |
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Pages (from-to) | 19-33 |
Journal | Ad Hoc Networks |
Volume | 42 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- radio disturbances
- wireless sensor networks
- software Defined Radio
- classification of radio disturbances