Towards Developing Path loss Models for Dryland and Wetland Environments

Shoewu, O.; Akinyemi, Lateef Adesola; Oborkhale, Lawrence

doi:10.1109/africon46755.2019.9134041

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…However, it is important to note that this classification cannot be considered accurate as some models can be classified in more than one category without being mutually exclusive. The empirical ones are obtained from rigorous field measurements in addition to the analysis of the statistical characteristics describing the behavior of the signal using an equation [ 22 ]. Deterministic ones are based on the study of propagation phenomena, as well as on the knowledge of the environment in which the network is deployed; they can be simple and range from only including the distance separating the nodes to considering more complex factors in its development (e.g., multipath fading) [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling Radio Wave Propagation for Wireless Sensor Networks in Vegetated Environments: A Systematic Literature Review

Barrios-Ulloa

Ariza-Colpas

Sánchez-Moreno

et al. 2022

Sensors

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The use of wireless sensor networks (WSN) for monitoring variables in agricultural environments and natural forests has been increasing in recent years. However, the sizing of these systems is affected by the inaccuracy of the radio wave propagation models used, leading to possible increased costs and measurement errors. This systematic literature review (SLR) aims to identify propagation models widely used in WSN deployments in agricultural or naturally vegetated environments and their effectiveness in estimating signal losses. We also identified today’s wireless technologies most used in precision agriculture (PA) system implementations. In addition, the results of studies focused on the development of new propagation models for different environments are evaluated. Scientific and technical analysis is presented based on articles consulted in different specialized databases, which were selected according to different combinations of criteria. The results show that, in most of the application cases, vegetative models present high error values when estimating attenuation.

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Section: Introductionmentioning

confidence: 99%