{"title":"The research of data compression algorithm based on lifting wavelet transform for wireless sensor network","authors":"Xian-Li Li, Jiawei Zhang, Wei-Hong Fang","doi":"10.1109/ICACIA.2009.5361111","DOIUrl":null,"url":null,"abstract":"Aiming at the limited resources and data transmission redundancy of WSN, this paper proposes a novel data compression algorithm based on lifting wavelet transform, gives the rational design. The algorithm distributes the computing quantity which the lifting wavelet transform requires to all nodes, eliminates extra computing and data transmission, reduces the information redundancy of network, greatly saves the energy of wireless transmission, prolongs network lifetime. The simulation results show that the data compression algorithm based on lifting wavelet transform performs well in energy saving without sacrificing the reconstruction quality of signal in comparing with the data compression algorithm based on traditional wavelet transform.","PeriodicalId":423210,"journal":{"name":"2009 International Conference on Apperceiving Computing and Intelligence Analysis","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Apperceiving Computing and Intelligence Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACIA.2009.5361111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Aiming at the limited resources and data transmission redundancy of WSN, this paper proposes a novel data compression algorithm based on lifting wavelet transform, gives the rational design. The algorithm distributes the computing quantity which the lifting wavelet transform requires to all nodes, eliminates extra computing and data transmission, reduces the information redundancy of network, greatly saves the energy of wireless transmission, prolongs network lifetime. The simulation results show that the data compression algorithm based on lifting wavelet transform performs well in energy saving without sacrificing the reconstruction quality of signal in comparing with the data compression algorithm based on traditional wavelet transform.