Data compression for smart grid infrastructure
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Abstract (EN)
Embedded systems, which work with large data sets, need larger memory and consume much more data traffic when compared to other IOT (Interne Of Things) devices. In this study, Hu man'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 fash memory is used for this study. Compression ratio of %59 is reached with eliminating repetitive character groups.
Author
Ege Münir Sarı
Institution
How to Cite
Ege Münir Sarı (Master Thesis). Data compression for smart grid infrastructure, 2018, Feyziye Schools Foundation Işık University.
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