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Networked embedded systems endowed with sensing, computing, control andcommunication capabilities allow the development of various applicationscenarios and represent the building blocks of the Internet of Things (IoT)paradigm. Traditional data collection methods include multiple field level IoTsystems that can relay data stemming from a network of distributed groundsensors directly to a cloud platform for storage, analysis and processing. Insuch applications however, rapid sensor deployment in unstructured environmentsrepresents a challenge to the overall robustness of the system. We discuss thefog and mist computing approaches to hierarchically process data along its pathfrom source to destination. The several stages of intermediate data processingreduce the computational and communication effort in a gradual manner. Athree-layer topology for smart data monitoring and processing is thus proposedand illustrated to improve the information to noise ratio in a referencescenario.

WSN and Fog Computing Integration for Intelligent Data Processing