Modeling Path Loss in Structured Mango Orchards: An Empirical Approach in Accordance with IEEE 802.11 Standards

In this paper, wirelessly-connected lightweight single-board computers, such as the Raspberry Pi, is employed for measuring path loss (PL) in a structured mango orchards at 2.45 GHz frequency. The experiment involves measuring signal strength (RSSI) at selected Line of Sight (LoS) and Non-Line of Sight (NLOS) points. The present measurement values are obtained during the autumn season, when the trees are in full leaf state and under bright sunny conditions. An empirical model is developed based on these measured values, and then compared with standard vegetation models applicable in IEEE 802.11 standards. Finally, the performance of the proposed model is validated for three cases. The results show good accuracy for the proposed model, with less Root Mean Square Error (RMSE) values compared to the existing models.

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/apwc61918.2024.10701895
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling Path Loss in Structured Mango Orchards: An Empirical Approach in Accordance with IEEE 802.11 Standards

Divyabramham Kandimalla, Krishna Mohan Boga, Hemanth Nandivelugu, Sai Surya Raj Gaddala et al.
1 links
Power Line Communications and Noise
article

Modeling Path Loss in Structured Mango Orchards: An Empirical Approach in Accordance with IEEE 802.11 Standards

Divyabramham Kandimalla, Krishna Mohan Boga, Hemanth Nandivelugu, Sai Surya Raj Gaddala, Raja Vara Prasad Yerra
article en

Abstract

In this paper, wirelessly-connected lightweight single-board computers, such as the Raspberry Pi, is employed for measuring path loss (PL) in a structured mango orchards at 2.45 GHz frequency. The experiment involves measuring signal strength (RSSI) at selected Line of Sight (LoS) and Non-Line of Sight (NLOS) points. The present measurement values are obtained during the autumn season, when the trees are in full leaf state and under bright sunny conditions. An empirical model is developed based on these measured values, and then compared with standard vegetation models applicable in IEEE 802.11 standards. Finally, the performance of the proposed model is validated for three cases. The results show good accuracy for the proposed model, with less Root Mean Square Error (RMSE) values compared to the existing models.

Indian Institute of Information Technology Sri City
Zero hunger
Openalex Percentile: Top 85%
Power Line Communications and Noise
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.