Title

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

Document Type

Journal Article

Publisher

Inderscience

Faculty

Faculty of Health, Engineering and Science

School

School of Engineering/Centre for Communications and Electronics Research

RAS ID

16484

Comments

This article was originally published as: Kolo, J., Ang, L. K., Seng, K. , & Prabaharan, S. (2013). Performance comparison of data compression algorithms for environmental monitoring wireless sensor networks. International Journal of Computer Applications in Technology, 46(1), 65-75. Original article available here

Abstract

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.

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