Modified COST-235 Empirical Pathloss Model for Agricultural WSN Using Particle Swarm Optimization

Modified COST-235 Empirical Pathloss Model for Agricultural WSN Using Particle Swarm Optimization

The increasing demand for agricultural products yearly encourages farmers to seek solutions to migrate from conventional farming to smart and precise farming by utilizing technological advances such as implementing wireless sensor networks (WSN). Unlike conventional farming, this technology is beli...

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Bibliographic Details
Main Authors: Syahfrizal Tahcfulloh, Etty Wahyuni, Dwi Santoso, Rizkyandi Juliannanda
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2025-01-01
Series:International Islamic University Malaysia Engineering Journal
Subjects:
Agriculture-WSN
FITU-R
Pathloss
Particle-Swarm-Optimization
Root-Mean-Square-Error
Online Access:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3446
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