Machine learning-driven routing optimization for energy-efficient 6G-enabled wireless sensor networks

Future wireless networks under 6G will implement expansive Wireless Sensor Network (WSN) deployments that require extremely low latency and highly reliable and power-efficient systems. The networks encounter crucial impediments in routing protocol optimization that require network lifetime extension...

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Egile Nagusiak:	Rakan Alanazi, Marwa Obayya, Asmaa Mansour Alghamdi, Nadhem Nemri, Saied Alshahrani, Noha Alduaiji, Tawfiq Hasanin, Shaymaa Sorour
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2025-10-01
Saila:	Alexandria Engineering Journal
Gaiak:	Wireless Sensor Networks (WSNs) Machine learning 6G networks Energy efficiency Routing optimization Reinforcement learning
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S1110016825008555
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