Comparison of local lossless compression algorithms for Wireless Sensor Networks

Compression algorithms are deeply used in Wireless Sensor Networks (WSNs) for data aggregation in order to reduce energy consumption and therefore increasing network lifetime. In this paper we compare several lossless compression algorithms by means of real-world data. Moreover we present a simple and effective lossless compression algorithm that is able to outperform existing solutions and that, considering its inherent low complexity and memory requirements, is well suited for WSNs.