@article {ElMejjatti2022,
	title = {Regression analysis-based identification model of key impactful parameters on buried antennas},
	journal = {International Journal of Communication Systems},
	volume = {35},
	number = {4},
	year = {2022},
	note = {cited By 1},
	abstract = {The antenna{\textquoteright}s bandwidth is strongly dependent on its physical properties and the environment where it is located. Nevertheless, for transmitting devices embedded permanently in the soil, the propagation medium{\textquoteright}s properties are unstable due to dielectric permittivity{\textquoteright}s spatial and temporal changes. Relying on soil parameters values, we present three new multivariable regression models allowing a good fit to the dataset curves with antenna{\textquoteright}s resonant frequency variations prediction of about 98\%. Precisely, such models have been obtained with the help of the multiple linear regression analysis method. Additionally, the results revealed that amongst four considered parameters (i.e., volumetric moisture, bulk density, specific density, and temperature), volumetric moisture is the most influencing factor on the antenna operating frequency band with a correlation coefficient of -0.989, whereas it equals 0.04, -0.035, and -0.002 for the temperature, bulk density, and specific density, respectively. {\textcopyright} 2021 John Wiley \& Sons Ltd.},
	keywords = {\%moisture, Antenna bandwidth, Antennas, Bulk density, Identification modeling, Internet of underground thing, Linear regression, Moisture, Moisture determination, Multiple linear regression analyses (MLRA), Natural frequencies, Permittivity, Propagation media, Volumetrics, Wireless communications, Wireless underground sensor networks},
	doi = {10.1002/dac.5051},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119955862\&doi=10.1002\%2fdac.5051\&partnerID=40\&md5=551c7d444e649e1e52b647125dd3e638},
	author = {El Mejjatti, M. and Habbani, A. and El Bouanani, F.}
}
@conference {ElMejjatti2021,
	title = {A Magnetic Coupling-Based Technique for Buried Antenna{\textquoteright}s Frequency Adjustment in Wet Soil},
	booktitle = {Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021},
	year = {2021},
	note = {cited By 0},
	abstract = {Wireless Underground Sensor Networks for precision agriculture applications consist of wirelessly connected underground sensor nodes that communicate through the soil. Thus, the resonant frequency of the buried antenna depends on the soil{\textquoteright}s dielectric permittivity. In addition, the soil{\textquoteright}s volumetric water content in nature can vary unpredictably due to the weather conditions and irrigation, causing permittivity fluctuations and hence, frequency instability of deployed antennas. In this paper, we propose an inductive coupling-based technique allowing the self-adjustment of the buried loop antenna{\textquoteright}s resonant frequency subject to a wet soil environment. {\textcopyright} 2021 IEEE.},
	keywords = {Agriculture applications, Antennae frequency, Dielectric permittivities, Electromagnetic coupling, Electromagnetic induction, Frequency adjustment, Inductive couplings, Inductive sensors, Loop antennas, Natural frequencies, Permittivity, Precision agriculture, Rectangular loop antenna, Sensor nodes, Soil volumetric water contents, Soils, Wet soil, Wireless underground sensor networks},
	doi = {10.1109/CommNet52204.2021.9641968},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124041273\&doi=10.1109\%2fCommNet52204.2021.9641968\&partnerID=40\&md5=45b6350d107ec8b65d5a9b1750c72d69},
	author = {El Mejjatti, M. and Habbani, A. and El Bouanani, F.}
}
@conference {ElMejjatti201764,
	title = {Moisture vulnerability of antenna operation in UHF band},
	booktitle = {ACM International Conference Proceeding Series},
	volume = {Part F130526},
	year = {2017},
	note = {cited By 0},
	pages = {64-68},
	abstract = {Behavior of the propagation medium in reaction with electromagnetic fields is described by its dielectric permittivity; this electric property is a function of the physical characteristics of the medium and those of the propagating wave. Among the parameters, which considerably affect the dielectric permittivity of a medium, its water content. In fact, when the snow wetness varies from 0 to 50\% in the melting layer, real part of the mixture permittivity varies from 1.47 to 5.86. Similarly, when soil moisture varies from 0 to 40\% real and imaginary parts of effective permittivity of soil, air and water mixture vary from 4.13 to 24.85 and from 0 to 3.44 respectively. This dynamism in the permittivity as a function of the humidity is able to alter the efficiency of the antenna within the application. In this paper, we propose a study to analyze the impact of wetness on the performance of a dipole antenna with central frequency of 900 MHz. The study was carried out by simulating the behavior of the dipole antenna model in Finite Element Method (FEM) full wave simulator with different values of the water content of two propagation mediums: melting layer and soil. Simulation results concerning the resonant frequency, bandwidth, directivity are presented through paragraphs of the paper. {\textcopyright} 2017 Association for Computing Machinery.},
	doi = {10.1145/3128128.3128138},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030317231\&doi=10.1145\%2f3128128.3128138\&partnerID=40\&md5=e989fe7cf53281bbd496b02834b4ced0},
	author = {El Mejjatti, M. and Habbani, A. and Essaid, B. and Amraoui, H.}
}
