Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 19-33 |
| Journal | Ad Hoc Networks |
| Volume | 42 |
| DOIs | |
| Publication status | Published - 2016 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- radio disturbances
- wireless sensor networks
- software Defined Radio
- classification of radio disturbances
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Classification of Radio Channel disturbances for industrial wireless sensor networks. / Eskola, Marina (Corresponding Author); Heikkilä, Tapio (Corresponding Author).
In: Ad Hoc Networks, Vol. 42, 2016, p. 19-33.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Classification of Radio Channel disturbances for industrial wireless sensor networks
AU - Eskola, Marina
AU - Heikkilä, Tapio
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - radio disturbances
KW - wireless sensor networks
KW - software Defined Radio
KW - classification of radio disturbances
U2 - 10.1016/j.adhoc.2016.01.001
DO - 10.1016/j.adhoc.2016.01.001
M3 - Article
VL - 42
SP - 19
EP - 33
JO - Ad Hoc Networks
JF - Ad Hoc Networks
SN - 1570-8705
ER -