Abstract

. The surge in data traffic strains backbone networks, causing congestion, latency, and higher costs. This project proposes a data compression system tailored for backbone networks, utilizing Lempel-Ziv (LZ) and Huffman encoding to enhance processing time and network efficiency. Adaptive features allow the system to respond to network conditions, ensuring scalability and cost-effectiveness. The primary objective is to optimize network performance by reducing data packet size, increasing throughput, lowering latency, and reducing energy use.