Abstract
We propose a novel method to identify the sources for
transmission disturbances related to radio propagation in
wireless sensor networks. Especially in industrial
environments there are challenges for reliability and
performance. For example, dead spots indicate destructive
interference caused by the signal multipath propagation.
The recognition of this phenomenon during the network
installation and operation, and systematic methods for
network optimization, will significantly improve the data
transmission quality and reliability even in difficult
conditions. By computing the amplitude histograms of the
received signal strength and characteristics of the
histograms, we can deduce what kind of interference
causes the signal degradation in radio link, i.e.
interfering radio traffic or signal multipath
propagation. We use software defined radio (SDR) as the
receiver to capture the transmitted signal and analyze
the statistical properties of the captured signal with
Matlab/Simulink tools. The results show that the shape of
the histograms reveals the nature of the radio channel
interferences and in that way can help to choose the
right actions in order to overcome the communication
problems.
| Original language | English |
|---|---|
| Title of host publication | Summer Computer Simulation Conference SCSC 2013 |
| Publisher | Curran Associates Inc. |
| Pages | 400-405 |
| ISBN (Print) | 978-1-6274-8276-9 |
| Publication status | Published - 2013 |
| MoE publication type | A4 Article in a conference publication |
| Event | Summer Computer Simulation Conference, SCSC 2013 - Toronto, Canada Duration: 7 Jul 2013 → 10 Jul 2013 |
Conference
| Conference | Summer Computer Simulation Conference, SCSC 2013 |
|---|---|
| Abbreviated title | SCSC 2013 |
| Country/Territory | Canada |
| City | Toronto |
| Period | 7/07/13 → 10/07/13 |
Keywords
- amlitude histogram
- radio disturbances
- software defined radio
- wiereless sensor networks