The article focuses on the development of lossless compression algorithms with adjustable parameters for Internet of Things systems under resource constraints. It examines the specific characteristics of IoT data and the requirements for energy efficiency. The study analyzes modern methods, including adaptive algorithms (SZ4IoT), multi-level architectures, and integrated approaches combining compression and encryption. Performance metrics are systematized, and future research directions are outlined.
Internet of Things, lossy data compression, energy efficiency, adaptive algorithms, signal processing, time series, SZ4IoT, multi-level architectures, compression metrics, embedded systems
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