{"title":"基于分布式块截断编码的无线传感器网络内数据压缩","authors":"Sanu Thomas, T. Mathew","doi":"10.1109/ICAECC.2018.8479478","DOIUrl":null,"url":null,"abstract":"In-network data compression is achieved in a wireless sensor network using Block Truncation Coding technique. This provides data compression and the consequent energy saving. In Block Truncation Coding, binarization and fixing of quantization levels are the two major steps. By shifting the binarization pre-processing to the sensor nodes, in-network compression is realized.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"In-network Data Compression in Wireless Sensor Networks Using Distributed Block Truncation Coding\",\"authors\":\"Sanu Thomas, T. Mathew\",\"doi\":\"10.1109/ICAECC.2018.8479478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In-network data compression is achieved in a wireless sensor network using Block Truncation Coding technique. This provides data compression and the consequent energy saving. In Block Truncation Coding, binarization and fixing of quantization levels are the two major steps. By shifting the binarization pre-processing to the sensor nodes, in-network compression is realized.\",\"PeriodicalId\":106991,\"journal\":{\"name\":\"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAECC.2018.8479478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC.2018.8479478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In-network Data Compression in Wireless Sensor Networks Using Distributed Block Truncation Coding
In-network data compression is achieved in a wireless sensor network using Block Truncation Coding technique. This provides data compression and the consequent energy saving. In Block Truncation Coding, binarization and fixing of quantization levels are the two major steps. By shifting the binarization pre-processing to the sensor nodes, in-network compression is realized.