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    Data compression for smart grid infrastructure
    (Işık Üniversitesi, 2018-01-15) Sarı, Ege Münir; Güz, Ümit; Gürkan, Hakan; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Elektronik Mühendisliği Yüksek Lisans Programı
    Embedded systems, which work with large data sets, need larger memory and consume much more data traffc when compared to other IOT (Interne Of Things) devices. In this study, Human's Lossless Compression Algorithm is optimized and implemented on a Electric Meter Reader Modem (DR-502-DCL). Compression Algorithm used for storing the data which is measured by the electric meter. Huffman's Algorithm optimized for memory (RAM) on a multi-threaded embedded system. STM32F412 microcontroller and Winbond 128mbit embedded ash memory is used for this study. Compression ratio of %59 is reached with eliminating repetitive character groups.