A Novel Irregular Data Compression Based on HASH Digest for IoT Network

초록

In this letter, a novel irregular data compression based on HASH digest (CompHD) is proposed to enhance compression ratio and mitigate computational load at the Internet of Things edges (IoT-E). The proposed CompHD utilizes variable length HASH functions, specifically SHAKE-128, to aggregate and compress data via flexible digest bytes. The CompHD is evaluated across three options and compared against the established data compression methods-LZMA, BZ2, ZSTD, and DEFLATE-using key performance metrics: compression gain (CG), execution time (ET), and randomness (RD). The results indicate the advantageous influence of the proposed CompHD with 5 B while showing 31.18% CG value and 0.98 RD value.

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