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.
Available: https://innovate.ieee.org/innovation-spotlight-ieee-fueling-fourth-industrial-revolution/?LT=X PLHL_XPL_1.2019_LM_Innovation_Spotlight_4IR
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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.