SynthesisSensors (Basel, Switzerland)2022
Modeling Radio Wave Propagation for Wireless Sensor Networks in Vegetated Environments: A Systematic Literature Review.
Synthesis in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- An improved grey wolf optimizer with multi-stage differentiation strategies coverage in three-dimensional wireless sensor network.Scientific reports · 2025Article
- Application of Artificial Neural Networks for Prediction of Received Signal Strength Indication and Signal-to-Noise Ratio in Amazonian Wooded Environments.Sensors (Basel, Switzerland) · 2024Article
- A Tree Attenuation Factor Model for a Low-Power Wide-Area Network in a Ruby Mango Plantation.Sensors (Basel, Switzerland) · 2024Article
- Article
- Beacon Success Rate versus Gateway Density in Sub-GHz Sensor Networks.Sensors (Basel, Switzerland) · 2023Article
- Multi-Boundary Empirical Path Loss Model for 433 MHz WSN in Agriculture Areas Using Fuzzy Linear Regression.Sensors (Basel, Switzerland) · 2023Article
- Structure, Functionality, Compatibility with Pesticides and Beneficial Microbes, and Potential Applications of a New Delivery System Based on Ink-Jet Technology.Sensors (Basel, Switzerland) · 2023Article
- Overview of Mobile Communications in Colombia and Introduction to 5G.Sensors (Basel, Switzerland) · 2023Review
- Lost in the woods: Forest vegetation, and not topography, most affects the connectivity of mesh radio networks for public safety.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.