Hybrid optimization for efficient 6G IoT traffic management and multi-routing strategy

Efficient traffic management solutions in 6G communication systems face challenges as the scale of the Internet of Things (IoT) grows. This paper aims to yield an all-inclusive framework ensuring reliable air pollution monitoring throughout smart cities, capitalizing on leading-edge techniques to en...

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Vydáno v:	Scientific reports Ročník 14; číslo 1; s. 30915 - 17
Hlavní autoři:	Logeshwaran, J., Patel, Shobhit K., Kumar, Om Prakash, Al-Zahrani, Fahah Ahmed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 28.12.2024 Nature Publishing Group Nature Portfolio
Témata:	639/166/987 639/705/117 639/705/258 Air pollution Air pollution monitoring Algorithms Communications systems Deep reinforcement learning Energy consumption Genetic algorithms Humanities and Social Sciences Internet of Things IoT Mobile ad-hoc networking multidisciplinary Outdoor air quality Pollution monitoring Quantum entanglement and mobility metric Quantum-inspired clustering algorithm Science Science (multidisciplinary) Sensors Smart cities Dynamic cluster head selection Quantum genetic algorithm Quantum-inspired clustering algorithm Deep reinforcement learning Mobile ad-hoc networking Quantum entanglement and mobility metric Air pollution monitoring IoT
ISSN:	2045-2322, 2045-2322
On-line přístup:	Získat plný text
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