Observing the unobservable : distributed online outlier detection in wireless sensor networks
Published 31 May 2010Open access
Yang Zhang
Citations22
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TL;DR
The main research objective is to design and implement effective and efficient outlier detection techniques for WSNs to identify outliers in an online and distributed manner and distinguish between errors and events with high accuracy and low false alarm, while maintaining the communication, computation and memory complexity low.
Abstract
The generation of wireless sensor networks (WSNs) makes human beings observe and reason about the physical environment better, easier, and faster. The wireless sensor nodes equipped with sensing, processing, wireless communication and actuation capabilities can be densely deployed in a wide geographical area and measure various parameters continuously from the physical world. Compared with traditional environmental sensing technologies, such densely deployed WSNs enable collection of fine-grained high spatial and temporal resolution data with less installation, maintenance, and operation costs.
Keywords
Computer ScienceEngineering
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