Abstract
Energy conservation is a critical issue in Wireless Sensor Networks since sensor nodes are powered by battery. As radio communications is the main source of energy consumption, reducing transmission overhead would be extended the sensor node lifetime. In this paper, we propose a data compressing technique using temporal correlation of sensing data, data transformation from one dimension to two dimension, and data separation: upper 8bit and lower 8bit data. From the simulation, the proposed algorithm has a well-directed technique and can be available to data rate control.
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Min, J., Kim, J., Kwon, Y. (2012). Data Compression Technique for Wireless Sensor Networks. In: Lee, G., Howard, D., Kang, J.J., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Lecture Notes in Computer Science, vol 7425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32645-5_2
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DOI: https://doi.org/10.1007/978-3-642-32645-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32644-8
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