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The performance of the proposed method against state-of-the-art techniques is evaluated on real data acquired by a distributed sensor network, which serves as an illustrative example of a Big Data application.
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Robustness to modeling errors is incorporated by choosing a distributed sensor network.
Another example is localization of plasma wave sources by deploying a distributed sensor network (Constantinescu et al. 2006).
Some robustness to modeling errors in the SDG can be incorporated by choosing a distributed sensor network.
In this paper, the design process is illustrated by means of the design of a distributed sensor such that its sensor dynamics feature high order gain roll-off without phase lag.
A distributed sensor network may be seen in this case as a "distributed" sensor placed into the field of a distributed parameter system.
The paper presents a distributed Sensor Fault Diagnosis architecture for Industrial Wireless Sensor Networks monitoring HVAC systems, by exploiting a recently proposed distributed clustering method.
Our detection system works on a distributed sensor network where microphone arrays are used as sensors.
In order to monitor water quality in different field sites and in real-time, a novel system architecture constituted by several distributed sensor nodes and a base station is suggested.
The task management technique by distributed sensor nodes cooperatively have been studied in recent years.
The IDMS could be helped by distributed sensor networks for collecting information and monitoring the recent status on the aspect of physical system infrastructures.
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