A Comparative Experimental Study of Lossless Compression Algorithms for Enhancing Energy Efficiency in Smart Meters

Abstract

An experimental comparative study of data compression algorithms is investigated for enhancing energy efficiency in low-powered smart meters. Data compression is able to reduce the RF communication time. We also propose a new lossless compression algorithm to achieve the best tradeoff between the compression ratio and computational costs. The performance of our proposed Run-Length Binary Encoding (RLBE) algorithm is compared to those obtained with other lossless compression algorithms: Huffman coding, Even-Rodeh, Exponential-Golomb, Lempel-Ziv Welch, Fibonacci coding, and the hybrid Bzip2 algorithm. The energy optimization in data transmission has been achieved under different operating conditions. The performance of each compression algorithms has been verified experimentally with real metering datasets from industrial and domestic cases.