An Efficient and Robust Data Compression Algorithm in Wireless Sensor Networks

Data compression is a useful technique in the deployments of resource-constrained wireless sensor networks (WSNs) for energy conservation. In this letter, we present a new lossless data compression algorithm in WSNs. Compared to existing WSN data compression algorithms, our proposed algorithm is not...

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Vydáno v:IEEE communications letters Ročník 18; číslo 3; s. 439 - 442
Hlavní autoři: Liang, Yao, Li, Yimei
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.03.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithm design and analysis
Applied sciences
Coding, codes
Data compression
Detection, estimation, filtering, equalization, prediction
Energy consumption
energy efficiency
Exact sciences and technology
Information, signal and communications theory
Prediction algorithms
Robustness
Services and terminals of telecommunications
Signal and communications theory
Signal, noise
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Telemetry. Remote supervision. Telewarning. Remote control
Volcanoes
Wireless sensor networks
Performance evaluation
Data compression
Wireless telecommunication
Lossless compression
Algorithm
Remote sensing
Wireless sensor networks
Energy conservation
Energetic efficiency
energy efficiency
Electric power consumption
Wireless network
Robustness
Sensor array
Signal detection
ISSN:1089-7798, 1558-2558
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Popis
Shrnutí:Data compression is a useful technique in the deployments of resource-constrained wireless sensor networks (WSNs) for energy conservation. In this letter, we present a new lossless data compression algorithm in WSNs. Compared to existing WSN data compression algorithms, our proposed algorithm is not only efficient but also highly robust for diverse WSN data sets with very different characteristics. Using various real-world WSN data sets, we show that the proposed algorithm significantly outperforms existing popular lossless compression algorithms for WSNs such as LEC and S-LZW. The robustness of our algorithm has been demonstrated, and the insight is provided. The energy consumption of our devised algorithm is also analyzed.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2014.011214.132319