Joint LZW and Lightweight Dictionary-based compression techniques for congested network

Data compression can help in relieving congestion by only reducing the effective data size without much effect on throughput. This paper proposes a joint data compression technique in congested networks. The proposed framework combines Lempel Ziv Welch (LZW) and Lightweight Dictionary-based Compression (LDC), the joint LZW and LDC is added on top of the TCP layer. When congestion is detected, the compression ratio from the different algorithms are compared to pick the best result. LDC is a customized compression technique that requires minimal additional memory for decoding compared to LZW. Results show that LDC decoding memory footprint is much lower than LZW.