The energy consumption of each wireless sensor node is one of critical issues that require careful management in order to maximize the lifetime of the sensor network since the node is battery powered. The main energy consumer in each node is the communication module that requires energy to transmit and receive data over the air. Data compression is one of possible techniques that can reduce the amount of data exchanged between wireless sensor nodes. In this paper, we proposed a simple lossless data compression algorithm that uses multiple Huffman coding tables to compress WSNs data adaptively. We demonstrate the merits of our proposed algorithm in comparison with recently proposed LEC algorithm using various real-world sensor datasets.
|Title of host publication||Soft Computing Models in Industrial and Environmental Applications|
|Subtitle of host publication||Proceedings of the 7th International Conference, SOCO’12|
|Editors||Václav Snášel, Ajith Abraham, Emilio S. Corchado|
|Place of Publication||Berlin|
|Number of pages||10|
|Publication status||Published - 2012|
|Event||International Joint Conference on SOCO, CISIS, ICEUTE 2012: 7th International Conference on Soft Computing Models in Industrial and Environmental Applications - Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czech Republic|
Duration: 05 Sep 2012 → 07 Sep 2012
https://web.archive.org/web/20130713161527/http://einformatica.usal.es/~soco2012/ (Conference website)
|Name||Advances in Intelligent Systems and Computing|
|Conference||International Joint Conference on SOCO, CISIS, ICEUTE 2012|
|Period||05/09/12 → 07/09/12|
|Other||Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate and analyze very complex issues and phenomena. This workshop is mainly focused on its industrial applications. |
SOCO 2012 provides interesting opportunities to present and discuss the latest theoretical advances and real world applications in this multidisciplinary research field.
SOCO 2012 will be held in the beautiful and historic city of Ostrava, Czech Republic. With exceptional opportunities for sightseeing and gastronomy, Ostrava is a wonderful venue for a great conference.
Kolo, J. G., Ang, L-M., Shanmugam, S. A., Lim, D. W. G., & Seng, K. P. (2012). A Simple Data Compression Algorithm for Wireless Sensor Networks. In V. Snášel, A. Abraham, & E. S. Corchado (Eds.), Soft Computing Models in Industrial and Environmental Applications: Proceedings of the 7th International Conference, SOCO’12 (Vol. 188, pp. 327-336). (Advances in Intelligent Systems and Computing). Springer.