Sensors 2010, 10(4), 3195-3217; doi:10.3390/s100403195
Article

Evaluation of Tunable Data Compression in Energy-Aware Wireless Sensor Networks

Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China
* Author to whom correspondence should be addressed.
Received: 30 November 2009; in revised form: 26 January 2010 / Accepted: 16 March 2010 / Published: 1 April 2010
(This article belongs to the Section Physical Sensors)
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Abstract: Energy is an important consideration in wireless sensor networks. In the current compression evaluations, traditional indices are still used, while energy efficiency is probably neglected. Moreover, various evaluation biases significantly affect the final results. All these factors lead to a subjective evaluation. In this paper, a new criterion is proposed and a series of tunable compression algorithms are reevaluated. The results show that the new criterion makes the evaluation more objective. Additionally it indicates the situations when compression is unnecessary. A new adaptive compression arbitration system is proposed based on the evaluation results, which improves the performance of compression algorithms.
Keywords: wireless sensor networks; data compression; evaluation index; energy efficiency

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MDPI and ACS Style

Ying, B.; Liu, Y.; Yang, H.; Wang, H. Evaluation of Tunable Data Compression in Energy-Aware Wireless Sensor Networks. Sensors 2010, 10, 3195-3217.

AMA Style

Ying B, Liu Y, Yang H, Wang H. Evaluation of Tunable Data Compression in Energy-Aware Wireless Sensor Networks. Sensors. 2010; 10(4):3195-3217.

Chicago/Turabian Style

Ying, Beihua; Liu, Yongpan; Yang, Huazhong; Wang, Hui. 2010. "Evaluation of Tunable Data Compression in Energy-Aware Wireless Sensor Networks." Sensors 10, no. 4: 3195-3217.

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