📅 30 June 2024
DOI: 10.62951/ijeemcs.v1i2.76
Optimizing Data Transmission in Wireless Sensor Networks Using Machine Learning
International Journal of Electrical Engineering, Mathematics and Computer Science
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)
📄 Abstract
Data transmission efficiency is crucial in wireless sensor networks (WSNs), where limited battery life and signal reliability are significant concerns. This research explores various machine learning algorithms aimed at optimizing data transmission in WSNs, focusing on reducing energy consumption and enhancing network stability. Simulation results indicate marked improvements in efficiency, making WSNs more viable for long-term deployment across diverse environments.
🔖 Keywords
#Wireless sensor networks; data transmission; machine learning; energy efficiency; network stability; long-term deployment
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 June 2024
Volume / Nomor / Tahun
Volume 1, Nomor 2, Tahun 2024
📝 HOW TO CITE
Olusegun Adebayo Johnson; Chukwuemeka Ayodele Obi, "Optimizing Data Transmission in Wireless Sensor Networks Using Machine Learning," International Journal of Electrical Engineering, Mathematics and Computer Science, vol. 1, no. 2, Jun. 2024.
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