Wireless Wave Attenuation in Forests: An Overview of Models

Author:

Ma Yuewei12,Li Wenbin12,Han Dongtao23,He Yuan12,Li Qingsong12,Bai Xiaopeng12ORCID,Xu Daochun12ORCID

Affiliation:

1. School of Technology, Beiing Forestry University, No. 35 Tsinghua East Road, Haidian District, Beijing 100083, China

2. Key Lab of State Forestry Administration on Forestry Equipment and Automation, Beijing Forestry University, Beijing 100083, China

3. School of Technology, Hulunbuir College, No. 26 Chengjisihan Middle Road, Hulunbuir 021000, China

Abstract

In recent years, the need for reliable signal transmission in forested areas has increasingly grown, and the past few decades have witnessed significant developments in related research. With the emergence of smart forestry and precision forestry, understanding the science behind enhancing signal reliability in forests—specifically, studying the patterns and models of radio wave attenuation in these environments—has become crucial. To this end, we conducted a comprehensive review based on bibliometrics to summarize and construct the existing academic literature, revealing current research trends and hotspots. Utilizing bibliometric techniques, we analyzed the literature on radio wave attenuation in forests to summarize and evaluate previous studies. Our analysis indicates that empirical models (67%), hybrid models (21%), and equivalent models (12%) are the three main research clusters in this field. We observed that studies on radio attenuation are more prevalent in urban and artificial forests, while there is a scarcity of research in complex conditions like tropical rainforests and extreme weather; studies are more focused on UHF, VHF, and SHF frequency bands, with lesser attention given to other bands. Previous research has not adequately considered the impact of seasonal factors on signal attenuation patterns nor the influence of forest working environments.

Funder

National Natural Science Foundation of China

Outstanding Graduate Mentor Team Foundation of Beijing Forestry University

Publisher

MDPI AG

Reference95 articles.

1. Enabling LPWAN Massive Access: Grant-Free Random Access with Massive MIMO;Jiang;IEEE Wirel. Commun.,2022

2. Durable Superhydrophobic Coatings for Prevention of Rain Attenuation of 5G/Weather Radomes;Wei;Nat. Commun.,2023

3. Strategies to Mitigate the Effects of Soil Physical Disturbances Caused by Forest Machinery: A Comprehensive Review;Labelle;Curr. For. Rep.,2022

4. (2024, September 05). United States Forest Service. Available online: https://en.wikipedia.org/wiki/United_States_Forest_Service.

5. (2023, November 17). World Atlas of Ground Conductivities. Available online: https://hamwaves.com/ground/doc/ground-conductivity-atlas.vlf&mf.pdf.

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