Abstract
Compressing sensor data benefits sensor network applications because compression saves both transmission energy and storage space. This paper presents a novel lossless compression algorithm for sensor networks that is both data-aware and resource-aware. The DARA algorithm provides high compression ratios and also has a small memory footprint and efficient execution well within the range of sensor nodes. It is demonstrated that data-awareness, that is exploiting the structure of sensor data, is an important contributor to compression performance. The practicality of the DARA algorithm is demonstrated by an application in which sensor nodes use a phone modem to transmit a daily digest of nine sensor data streams in a single SMS message. © Springer-Verlag 2013.
Cite
CITATION STYLE
Cardell-Oliver, R., Böttcher, S., & Hübner, C. (2013). Data-aware, resource-aware, lossless compression for sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7772 LNCS, pp. 83–98). Springer Verlag. https://doi.org/10.1007/978-3-642-36672-7_6
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