Reliable Communication Through Energy‐Efficient Congestion Control Mechanism Utilizing Deep Learning and Meta‐Heuristic Optimization in Wireless Multimedia Sensor Networks

ABSTRACT Wireless Multimedia Sensor Networks (WMSNs) are plagued with issues of battery life limitation and congestion, which lead to packet loss, energy consumption, and delay. In this paper, an energy‐aware congestion control architecture named OCNN‐TDO‐WMSN, combining Orthogonal Convolutional Neu...

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Veröffentlicht in:	International journal of communication systems Jg. 38; H. 16
Hauptverfasser:	Felicia, Moses Angeline, Ravindran, Rajamani Samson, Beaulah, Hendry Lilly, Kesavan, Thangaraj
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Chichester Wiley Subscription Services, Inc 10.11.2025
Schlagworte:	Artificial neural networks Clustering Congestion congestion control Delay Double Fuzzy Clustering‐Driven Context Neural Network Energy consumption Machine learning Multimedia Optimization quality of service Semi‐Decentralized Energy Routing Algorithm Tasmanian Devil Optimization Wireless Multimedia Sensor Network Wireless networks Wireless sensor networks
ISSN:	1074-5351, 1099-1131
Online-Zugang:	Volltext
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