Issue |
MATEC Web Conf.
Volume 97, 2017
Engineering Technology International Conference 2016 (ETIC 2016)
|
|
---|---|---|
Article Number | 01041 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/matecconf/20179701041 | |
Published online | 01 February 2017 |
Analysis of Signal Propagation in an Experiment Room with Epoxy Covered Floor for Wireless Sensor Network Applications
1 School of Microelectronic Engineering, Universiti Malaysia Perlis (UNIMAP), Perlis, Malaysia
2 School of Computer and Communication Engineering, Universiti Malaysia Perlis (UNIMAP), Perlis, Malaysia
3 School of Engineering, University of Portsmouth, Portsmouth, UK
4 Center of Excellence for Advanced Sensor Technology (CEASTech), Universiti Malaysia Perlis, Malaysia
* Corresponding author: aziziharun@unimap.edu.my
As sensor applications combined with wireless network becoming more of an everyday applications, the optimal deployment becomes ever increasing important as that would be a key important factor in the trade-off between cost and link quality. This paper reports on the effect of epoxy covered floor on signal propagation characteristics in an experiment room. Microchip developed motes were used to measure signal propagation in an experiment room where sensors would be deployed extensively. The results show that the signal strength for 30 cm antenna height provides a significant margin with respect to signal noise floor. As for the 5 cm antenna height, there is still around 25 dB margin in average before the signal reaches noise floor. Analysis shows that the log-distance model is the best fit to the measured data. Free Space Loss model seemed to under estimate the overall performance of the signals. An important conclusion from this study is that wireless mote deployment must consider the margin between the two signals of antenna heights and the margin to noise floor to avoid link quality deterioration especially for sensitive data acquisition applications.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.