Enhancing Energy Efficiency in IoT Networks Through Fuzzy Clustering and Optimization

Wireless Sensor and Internet of Things (WSIoT) networks are characterized by nodes scattered throughout the environment, posing a significant challenge when it comes to battery replacement. The task of developing an algorithm that effectively reduces energy consumption in IoT networks through the ut...

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Veröffentlicht in:	Mobile networks and applications Jg. 29; H. 5; S. 1594 - 1617
Hauptverfasser:	Javadpour, Amir, Sangaiah, Arun Kumar, Zaviyeh, Hadi, Ja’fari, Forough
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2024 Springer Nature B.V
Schlagworte:	Algorithms Artificial intelligence Clustering Communications Engineering Computer Communication Networks Electrical Engineering Energy consumption Energy efficiency Engineering Fuzzy logic Heuristic methods Internet of Things IT in Business Networks Optimization Polynomials Energy consumption Wireless sensor networks Fuzzy system Clustering Internet of things networks PSO
ISSN:	1383-469X, 1572-8153
Online-Zugang:	Volltext
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