Proposes three approaches for IoT data aggregation: D2D-based clustering for energy efficiency in stationary/mobile nodes, a scheme to improve quality of uncertain raw data, and a prediction-based framework for massive medical IoT devices.
A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues,
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Data Aggregation Techniques for Internet of Things
Proposes three approaches for IoT data aggregation: D2D-based clustering for energy efficiency in stationary/mobile nodes, a scheme to improve quality of uncertain raw data, and a prediction-based framework for massive medical IoT devices.