Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/8788
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

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