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IJEEMCS - International Journal of Electrical Engineering, Mathematics and Computer Science - Vol. 1 Issue. 2 (2024)

Optimizing Data Transmission in Wireless Sensor Networks Using Machine Learning

Olusegun Adebayo Johnson, Chukwuemeka Ayodele Obi,



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.







DOI :


Sitasi :

0

PISSN :

3048-1910

EISSN :

3048-1945

Date.Create Crossref:

22-Nov-2024

Date.Issue :

30-Jun-2024

Date.Publish :

30-Jun-2024

Date.PublishOnline :

30-Jun-2024



PDF File :

Resource :

Open

License :

https://creativecommons.org/licenses/by-sa/4.0