Improved K-means clustering and adaptive distance threshold for energy reduction in WSN-IoTs

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Improved K-means clustering and adaptive distance threshold for energy reduction in WSN-IoTs

The Internet of Things (IoTs) increasingly depends on Wireless Sensor Networks (WSNs) for real time data collection and communication. However, due to the limited battery capacity of sensor nodes, energy efficiency remains a critical challenge, especially since data transmission consumes the most en...

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Bibliographic Details
Main Authors:	Azamuddin, Ab Rahman, Hamim, Sakib Iqram
Format:	Article
Language:	English
Published:	Elsevier B.V. 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/44972/ http://umpir.ump.edu.my/id/eprint/44972/1/Improved%20K-means%20clustering%20and%20adaptive%20distance%20threshold.pdf

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