Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networks
Wireless sensor networks usually have limited resources, such as energy, bandwidth and processing and so on.And they can’t match the transmission of a large number of data.So, it is necessary to perform in-network compression of the raw data sampled by sensors.The data sensor node collected normally...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74653445/ |
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| _version_ | 1841537657847414784 |
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| author | ZHU Tie-jun 1 LIN Ya-ping1 ZHOU Si-wang2 XU Xiao-long 1 |
| author_facet | ZHU Tie-jun 1 LIN Ya-ping1 ZHOU Si-wang2 XU Xiao-long 1 |
| author_sort | ZHU Tie-jun 1 |
| collection | DOAJ |
| description | Wireless sensor networks usually have limited resources, such as energy, bandwidth and processing and so on.And they can’t match the transmission of a large number of data.So, it is necessary to perform in-network compression of the raw data sampled by sensors.The data sensor node collected normally have multiple-modalities pertinence.Multiple-modalities pertinence refers to the different types of data which the same node sampled have some correlation.A adaptive multiple-modalities data compression algorithm using wavelet was designed.In a given threshold of the correlation, the data can be adaptive classified using this algorithm.the relevant data can be estimated using the least square estimation.The characteristics data are abstracted as a matrix, then can be exploited the spatial and temporal corrections using wavelet transform.Theoretically and experimentally, the proposed algorithm can effectively exploit the correlation of the data, the compression ratio of the algorithm has improved.Effectively, it can provide a significant reduction in energy consumption. |
| format | Article |
| id | doaj-art-d8dbb06821f247859ea75d07d0bd4b73 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2009-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-d8dbb06821f247859ea75d07d0bd4b732025-01-14T08:30:02ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2009-01-0130485374653445Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networksZHU Tie-jun 1LIN Ya-ping1ZHOU Si-wang2XU Xiao-long 1Wireless sensor networks usually have limited resources, such as energy, bandwidth and processing and so on.And they can’t match the transmission of a large number of data.So, it is necessary to perform in-network compression of the raw data sampled by sensors.The data sensor node collected normally have multiple-modalities pertinence.Multiple-modalities pertinence refers to the different types of data which the same node sampled have some correlation.A adaptive multiple-modalities data compression algorithm using wavelet was designed.In a given threshold of the correlation, the data can be adaptive classified using this algorithm.the relevant data can be estimated using the least square estimation.The characteristics data are abstracted as a matrix, then can be exploited the spatial and temporal corrections using wavelet transform.Theoretically and experimentally, the proposed algorithm can effectively exploit the correlation of the data, the compression ratio of the algorithm has improved.Effectively, it can provide a significant reduction in energy consumption.http://www.joconline.com.cn/zh/article/74653445/wireless sensor networkswavelet transformmultiple-modalities datadata compression |
| spellingShingle | ZHU Tie-jun 1 LIN Ya-ping1 ZHOU Si-wang2 XU Xiao-long 1 Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networks Tongxin xuebao wireless sensor networks wavelet transform multiple-modalities data data compression |
| title | Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networks |
| title_full | Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networks |
| title_fullStr | Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networks |
| title_full_unstemmed | Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networks |
| title_short | Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networks |
| title_sort | adaptive multiple modalities data compression algorithm using wavelet for wireless sensor networks |
| topic | wireless sensor networks wavelet transform multiple-modalities data data compression |
| url | http://www.joconline.com.cn/zh/article/74653445/ |
| work_keys_str_mv | AT zhutiejun1 adaptivemultiplemodalitiesdatacompressionalgorithmusingwaveletforwirelesssensornetworks AT linyaping1 adaptivemultiplemodalitiesdatacompressionalgorithmusingwaveletforwirelesssensornetworks AT zhousiwang2 adaptivemultiplemodalitiesdatacompressionalgorithmusingwaveletforwirelesssensornetworks AT xuxiaolong1 adaptivemultiplemodalitiesdatacompressionalgorithmusingwaveletforwirelesssensornetworks |