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Title: | A Simple Data Compression Algorithm for Wireless Sensor Networks |
Authors: | Kolo, Jonathan Gana Ang, L.-M Shanmugam, S. A. Lim, D. W. G. Seng, K. P. |
Keywords: | Wireless Sensor Networks Energy Efficiency Wireless Data Compression Signal processing Adaptive Entropy Encoder Huffman Coding |
Issue Date: | 2013 |
Citation: | J. G. Kolo, L.-M Ang, S. A. Shanmugam, D. W. G. Lim, K. P. Seng, "A Simple Data Compression Algorithm for Wireless Sensor Networks," In: Advances in Intelligent and Soft Computing, Lecture Note in Computer Science (LNCS), Volume 188, pp.327-336, Springer-Verlag Berlin Heidelberg 2013. (ISI/SCOPUS Cited Publication). http://dx.doi.org/10.1007/978-3-642-32922-7_34 |
Abstract: | 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. |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/8788 |
Appears in Collections: | Electrical/Electronic Engineering |
Files in This Item:
File | Description | Size | Format | |
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Kolo_A Simple Data Compression Algorithm for Wireless Sensor Networks.pdf | 64.49 kB | Adobe PDF | View/Open |
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