International Journal of Computer Applications in Technology
Data-Aware, resource-aware, lossless compression for sensor networks
EWSN'13 Proceedings of the 10th European conference on Wireless Sensor Networks
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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.