The proliferation of Wireless Sensor Networks (WSNS) in the past decade has provided the bridge between the physical and digital worlds, enabling the monitoring and study of physical phenomena at a granularity and level of detail that was never before possible. In this study, we review the efforts of the research community with respect to two important problems in the context of WSNS: real-time collection of the sensed data, and real-time processing of these data series.

Real-Time Data Analytics in Sensor Networks

Palpanas, Themistoklis
2013-01-01

Abstract

The proliferation of Wireless Sensor Networks (WSNS) in the past decade has provided the bridge between the physical and digital worlds, enabling the monitoring and study of physical phenomena at a granularity and level of detail that was never before possible. In this study, we review the efforts of the research community with respect to two important problems in the context of WSNS: real-time collection of the sensed data, and real-time processing of these data series.
2013
AA. VV.
Managing and Mining Sensor Data
Berlin
Springer
9781461463085
Palpanas, Themistoklis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/95217
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