Edge Computing for Energy‐Efficient Sensor Scheduling in Water Distribution Systems

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Detalles Bibliográficos
Publicado en:	Water Resources Research vol. 62, no. 1 (Jan 1, 2026)
Autor principal:	Wei, Shaosong
Otros Autores:	Yu, Tingchao, Ostfeld, Avi, Liu, Chengyin, Chu, Shipeng, Shen, Hao
Publicado:	John Wiley & Sons, Inc.
Materias:	Accuracy Water engineering System reliability Power consumption Batteries Flow rates Reliability Edge computing Water distribution systems Water Decomposition Data processing Data transmission Energy conservation Clustering Monitoring Energy consumption Prediction models Water distribution Data reduction Use statistics Scheduling Sensors Energy Cost control Environmental
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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