Journal article
Performance comparison of data compression algorithms for environmental monitoring wireless sensor networks
International Journal of Computer Applications in Technology, Vol.46(1), pp.65-75
2013
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.
Details
- Title
- Performance comparison of data compression algorithms for environmental monitoring wireless sensor networks
- Authors
- J G Kolo (Author) - University of Nottingham Malaysia CampusLi-Minn Ang (Author) - Edith Cowan UniversityK P Seng (Author) - Sunway UniversityS 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