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In the context of the use of wireless sensor network technology for environmental monitoring, the two main elementary activities of wireless sensor network are data acquisition and transmission. However, transmitting/receiving data are power consuming task. In order to reduce transmission-associated power consumption, we explore data compression by processing information locally. In this article, we evaluate and compare compression algorithms on an ultra-low power microcontroller from Texas Instrument within the MSP430 series used for designing wireless sensor network. We propose and evaluate a new data compression algorithm inspired from run length encoding called K-RLE.