An energy efficient routing scheme in internet of things enabled WSN: neuro-fuzzy approach

The Internet of Things (IoT) has led to the deployment of many battery-powered sensors in various applications to gather, process, and analyze meaningful data. Clusters of sensors provide for more efficient data collection and increased scalability in such contexts. A low-latency, long-lived routing...

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Veröffentlicht in:	The Journal of supercomputing Jg. 79; H. 10; S. 11134 - 11158
Hauptverfasser:	Tewari, Peeyush, Tripathi, Sandesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2023 Springer Nature B.V
Schlagworte:	Algorithms Cluster analysis Clustering Communication Compilers Computer Science Data collection Energy consumption Frame relay Internet of Things Interpreters Network latency Nodes Optimization techniques Processor Architectures Programming Languages Residual energy Routing Sensors Stability Routing WSN Clustering Neuro-fuzzy IoT
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
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