Radio Channel Model for Agricultural Wireless Sensor Networks

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 708
EP  - 712
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.144
DO  - 10.2991/icwcsn-16.2017.144
ID  - Yang2016/12
ER  -