MATEC Web Conf.
Volume 150, 2018Malaysia Technical Universities Conference on Engineering and Technology (MUCET 2017)
|Number of page(s)||5|
|Section||Information & Communication Technology (ICT), Science (SCI) & Mathematics (SM)|
|Published online||23 February 2018|
Investigation of Empirical Wave Propagation Models in Precision Agriculture
Computer and Communication Engineering School, University Malaysia Perlis, Malaysia
2,3 Laser and Optoelectronics Engineering Dept., 1*Computer Eng. Dept., AlNahrain University, Iraq
3 Microelectronic Engineering School, University Malaysia Perlis, Malaysia
5 Center of Software Technology and Management, University Kebangsaan Malaysia, Malaysia
4 Computer Engineering Dept., College of Engineering, ALMuthana University, Iraq
* Corresponding author: firstname.lastname@example.org
Wireless Sensor Networks have highly proved its contribution in precision agriculture. Communication channel modelling investigation is a highly demanded to achieve a successful communication system where a good wave propagation model is crucially needed. Precision agriculture degrades the traveling waves in various forms in addition to the effects of the large-scale path losses models. This paper reviews the most known theoretical large-scale path losses models such as free space (FSPL) and Plane earth (PE) models as well as the vegetation models represented by Weissberger, ITU-R, FITU-R and COS235 models. Indeed, this work illustrates the effects of many factors on the total path losses such as separation distance between transceivers, antenna heights and the depth of vegetation that presence in the path propagation. In conclusion, the total path loss is computed based on large-scale path losses and the vegetation losses in protected vegetation environment.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
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.