Temporal Data-Driven Sleep Scheduling and Spatial Data-Driven Anomaly Detection for Clustered Wireless Sensor Networks

The spatial–temporal correlation is an important feature of sensor data in wireless sensor networks (WSNs). Most of the existing works based on the spatial–temporal correlation can be divided into two parts: redundancy reduction and anomaly detection. These two parts are pursued separately in existi...

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Detalles Bibliográficos
Autores principales: Li, Gang, He, Bin, Huang, Hongwei, Tang, Limin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087390/
https://www.ncbi.nlm.nih.gov/pubmed/27690035
http://dx.doi.org/10.3390/s16101601

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087390/
https://www.ncbi.nlm.nih.gov/pubmed/27690035
http://dx.doi.org/10.3390/s16101601

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