| Abstract | The rapid proliferation of Internet of Things (IoT)
technologies has led to an unprecedented surge in data
generation and energy consumption, raising concerns about
sustainability and operational efficiency. This review explores
the role of data mining techniques in enhancing energy
efficiency across various IoT applications. By analyzing and
classifying key data mining methods such as clustering,
classification, association rule mining, and anomaly detection
this paper highlights how intelligent data processing can
optimize energy usage in IoT networks, reduce resource
wastage, and prolong device lifespan. The review further
discusses real-world case studies, emerging trends, and
challenges in integrating data mining with energy-aware IoT
systems. It concludes by identifying potential research directions
aimed at building smarter, greener, and more sustainable IoT
infrastructures.
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