Measurement and Analysis of Wireless propagative Model of 433MHz and 2.4GHz Frequency in Southern China Orchards

Xu, Xichen; Zhang, Zhihong; Xu, You; Zhou, Yang; Chen, Yuanfa; Liang, Zhentang; Zhou, Jinyan; Zheng, Junxin

doi:10.1016/j.ifacol.2018.08.115

Cited by 5 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Ref. [ 105 ], the minimum MAPE obtained was 30% at short distances, while Ref. [ 53 ] recorded values up to 82.44% using the same statistical analysis.…”

Section: Resultsmentioning

confidence: 86%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

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.

show abstract

“…In Ref. [ 105 ], the minimum MAPE obtained was 30% at short distances, while Ref. [ 53 ] recorded values up to 82.44% using the same statistical analysis.…”

Section: Resultsmentioning

confidence: 86%

“…For example, in Refs. [ 78 , 105 , 106 ], the values of R 2 were 0.95, 0.98, and 0.98, respectively.…”

Section: Resultsmentioning

confidence: 94%

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

View full text Add to dashboard Cite

show abstract

Radiowave Pathloss Modeling Using Polynomial Methods for Wet and Dry Land Adan Rice Agriculture

Tahcfulloh,

Wahyuni,

Santoso

et al. 2024

2024 11th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

View full text Add to dashboard Cite

Prediction of Signal Strength and Pathloss from Radio Wave Propagation for WSN Applications in North Kalimantan Shrimp Ponds

Tahcfulloh,

Maulianawati,

Wiharyanto

et al. 2024

2024 International Conference on Electrical Engineering and Computer Science (ICECOS)

View full text Add to dashboard Cite

Measurement and Analysis of Wireless propagative Model of 433MHz and 2.4GHz Frequency in Southern China Orchards

Cited by 5 publications

References 11 publications

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

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

Radiowave Pathloss Modeling Using Polynomial Methods for Wet and Dry Land Adan Rice Agriculture

Prediction of Signal Strength and Pathloss from Radio Wave Propagation for WSN Applications in North Kalimantan Shrimp Ponds

Contact Info

Product

Resources

About