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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| Published in: | IEEE communications letters Vol. 18; no. 3; pp. 439 - 442 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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New York, NY
IEEE
01.03.2014
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1089-7798, 1558-2558 |
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| Abstract | 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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| AbstractList | 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. 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. [PUBLICATION ABSTRACT] |
| Author | Yimei Li Yao Liang |
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| Keywords | 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 |
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| SubjectTerms | 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 |
| Title | An Efficient and Robust Data Compression Algorithm in Wireless Sensor Networks |
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