Comparative Analysis of Data Compression and Communication Algorithms

Efficient data compression methods are critical for optimizing storage, accelerating data transfer, and improving system performance. This study gives a comprehensive comparison of three data compression algorithms: Run-Length Encoding (RLE), Lempel-Ziv-Welch (LZW), and Burrows-Wheeler Transform (BWT). Each technique was assessed in terms of time efficiency, geographical complexity, and feasibility. According to our findings, LZW typically outperforms other approaches, although RLE and BWT perform very well in some cases. We thoroughly evaluate each algorithm to identify its merits, limitations, and potential areas for development.