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Radio Channel Characterization in Dense Forest Environments for IoT-5G
* 1 , 1 , 2 , 2 , 1 , * 3
1  Department of Electric, Electronic and Communication Engineering, Public University of Navarre
2  School of Engineering and Sciences, Tecnologico de Monterrey, Campus Monterrey, Mexico
3  Dept. Teoría de la Señal y Comunicación, Universidade de Vigo


The attenuation due to vegetation can limit drastically the performance of Wireless Sensor Networks (WSN) and the Internet of Things (IoT) communication systems. Even more for the envisaged high data rates expected for the upcoming 5G mobile wireless communications. In this context, radio planning tasks become necessary in order to assess the validity of future WSN and IoT systems operating in vegetation environments. For that purpose, path loss models for scenarios with vegetation play a key role since they provide RF power estimations that allow an optimized design and performance of the wireless network. Although different propagation models for vegetation obstacles can be found in the literature, a model combining path loss and multipath propagation is rarely considered. In this contribution, we present the characterization of the radio channel for IoT and 5G systems in a real recreation area located within a dense oak forest environment. This specific forest, composed of thick in-leaf trees, is called Orgi Forest and it is situated in Navarre, Spain. In order to fit and validate a radio channel model for this type of scenarios, both measurements and simulations by means of an in-house developed 3D Ray Launching algorithm have been performed, which takes into account the previously mentioned path loss and multipath propagation phenomena.

Keywords: Internet of Things; 5G; Wireless Sensor Networks; path loss models; forest; thick-in leaf trees; 3D Ray Launching
Comments on this paper
Brett Krejza
Internet of Things communication systems are capturing attention nowadays because of their outstanding speed and enhanced level features. I must say that you have written a valuable paper on this very sensitive field as I also read review online to get further details for help to write my essays about it.

Andreas Kotler
It's Necessary For Healthy Vegetation Environment
The attenuation of the WSN and IoT network system is really necessary for the vegetation. Its signals can harm the growing process of Plants. However, its radiation may also harm the brain of Human beings. To reduce its effect differently path model introduced that would successfully optimize the usage of IoT and WSN communication and Network. In our office building, where you can find our best resume writers online, it has a network tower that can be harmful to us but the network engineer sets its signals in a minimum volume that would not badly affect our health.