Slope-based Empirical Path Loss Prediction Models for rural networks at 2.4 GHz

Authors

DOI:

https://doi.org/10.14738/tnc.71.6162

Keywords:

Attenuation measurement, 802.11n, network planning, rural area

Abstract

Despite the plethora of works on empirical path loss prediction in wireless networks, just a little is addressing rural environments. In this work, we consider slope-based empirical path loss models in wireless networks at 2.4 GHz using off-the-shelf 802.11n (one transmitter and two receivers at 150Mbp and 300Mbps). We define three scenarios usually observed in rural environment. Subsequently, we do a measurement campaign and compare results to selected prediction models. We later propose a new model based on Liechty model. The new model is compared to Liechty model in Non-Line of Sight (NLOS) and combined (LOS and NLOS) scenarios. The Liechty model provided a better prediction in NLOS scenario while the new model outperforms in combined scenario. In addition, we observe that the data rate also influences the prediction. Especially in free space scenarios, the receiver with the greater data rate provides a smaller mean error and standard deviation.

Author Biography

Jean Louis Ebongue Kedieng Fendji, University of Ngaoundéré, Cameroon

Fendji Kedieng Ebongue Jean Louis was born in Douala, Cameroon in 1986. He received the B.Sc. and M.SC. degrees in computer science from University of Ngaoundéré, Cameroon, in 2007 and 2010, respectively, and his PhD from the University of Bremen, Germany, in 2015. He has been working as a scientist in the BMBF-Project CMR 10/P01 between the University of Ngaoundéré and the University of Bremen (2011-2013). He is currently a lecturer at the  University of Ngaoundéré. Current research interests focus on optimisation techniques for the design of sustainable networks and services, with a focus on rural areas.

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Published

2019-03-08

How to Cite

Fendji, J. L. E. K., Mafai, N. M., & Nlong, J. M. (2019). Slope-based Empirical Path Loss Prediction Models for rural networks at 2.4 GHz. Discoveries in Agriculture and Food Sciences, 7(1), 84. https://doi.org/10.14738/tnc.71.6162