Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Radio Channel Model for Agricultural Wireless Sensor Networks

Authors
Guang-You Yang, Hao Chen, Xiong Gan
Corresponding Author
Guang-You Yang
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.144How to use a DOI?
Keywords
Agricultural greenhouse, Wireless Sensor Networks, Channel model, Kalman filter, Path loss model
Abstract
In order to study the influence of the agricultural greenhouse environment on the channel of wireless sensor networks (WSNs) and to establish the WSNs channel model suitable for the agricultural greenhouse, this paper measures the path loss characteristics of the 2.4GHz radio frequency in the agricultural greenhouse. The original measurement data cannot be directly used for establishing the WSNs channel path loss model due to its big error. So the kalman filter is introduced to reduce the noise of the original measurement data, and then the accurate model parameters are obtained by linearity regression. The results indicate that the log distance path loss model can accurately characterize the path loss characteristics of radio frequency in the agricultural greenhouse environment, and the propagation characteristics of the WSNs channel model can provide theoretical basis for setting up the WSNs monitoring system platform of the agricultural greenhouse.
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Proceedings
3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.144How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guang-You Yang
AU  - Hao Chen
AU  - Xiong Gan
PY  - 2016/12
DA  - 2016/12
TI  - Radio Channel Model for Agricultural Wireless Sensor Networks
BT  - 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.144
DO  - https://doi.org/10.2991/icwcsn-16.2017.144
ID  - Yang2016/12
ER  -