Performance comparison of data compression algorithms for environmental monitoring wireless sensor networks

J G Kolo; Li-Minn Ang; K P Seng; S R S Prabaharan

doi:10.1504/IJCAT.2013.051389

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Performance comparison of data compression algorithms for environmental monitoring wireless sensor networks

Journal article

Peer reviewed

Performance comparison of data compression algorithms for environmental monitoring wireless sensor networks

J G Kolo, Li-Minn Ang, K P Seng and S R S Prabaharan

International Journal of Computer Applications in Technology, Vol.46(1), pp.65-75

2013

DOI: https://doi.org/10.1504/IJCAT.2013.051389

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Abstract

Energy efficient

Huffman coding

Wireless sensor networks

data compression

WSNs

Wireless sensor networks (WSNs) have serious resource limitations ranging from finite power supply, limited bandwidth for communication, limited processing speed, to limited memory and storage space. Data compression can help reduce memory and storage space requirements on sensor node. In WSNs, radio communication is the major consumer of energy. Therefore, applying data compression before transmission will significantly and directly help in reducing total power consumption of a sensor node thereby extending the network lifetime. In this article, we propose a simple lossless data compression algorithm designed specifically to be used by environmental monitoring sensor nodes for the compression of environmental data which are characterise by significant fluctuations in entropy. To verify the effectiveness of our proposed algorithm, we compare its compression performance with two existing WSNs compression algorithms using real-world environmental datasets. We show that our algorithm outperforms the other two algorithms when the entropy of the dataset is large.

Details

Title: Performance comparison of data compression algorithms for environmental monitoring wireless sensor networks
Authors: J G Kolo (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - Edith Cowan University
K P Seng (Author) - Sunway University
S R S Prabaharan (Author) - Manipal University
Publication details: International Journal of Computer Applications in Technology, Vol.46(1), pp.65-75
Publisher: Inderscience
Date published: 2013
DOI: 10.1504/IJCAT.2013.051389
ISSN: 0952-8091; 1741-5047; 0952-8091
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513805002621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Computer Science, Interdisciplinary Applications