文物监测中无线传感器网络数据压缩算法

doi:10.3969/j.issn.1001-2400.2012.01.028

Abstract

Abstract:

The heritage monitoring data structure with features of monotony, large redundancy and high tolerance. These features make data compression of the wireless sensor network (WSN) in the existing algorithms a high computational complexity and great computational energy consumption. In this paper the improved Swing Door Trending (SDT) algorithm is applied to the compression of WSN for heritage monitoring. In the case of a large-scale heritage monitor, we analyse the relationship between data compression and network energy consumption. Experiments show that the improved SDT's calculational energy consumption is less then 73％ compared with the DWC. And when the compression ratio is less than 25％, the improved compression algorithm SDT can be comparable with the DWC. Under the long-term, large-scale heritage monitor the improved SDT algorithm Data compression is more suitable for WSN.

Key words: heritage monitoring, data compression, wireless sensor network, swing door trending, distributed wavelet compression, energy consumption

WANG Ju;FANG Dingyi;CHEN Xiaojiang;XING Tianzhang;ZHANG Yuan;GAO Baojian. Data compression of wireless sensor networks in the heritage monitor[J].J4, 2012, 39(1): 157-162.

References

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Data compression of wireless sensor networks in the heritage monitor

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