Sensors (Apr 2010)

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

  • Beihua Ying,
  • Yongpan Liu,
  • Huazhong Yang,
  • Hui Wang

DOI
https://doi.org/10.3390/s100403195
Journal volume & issue
Vol. 10, no. 4
pp. 3195 – 3217

Abstract

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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