{"title":"Research on QoS-Based Networks Node-State","authors":"L. Han, Zhengxin Ma, Hulling Zhu, Han Hu","doi":"10.1109/ICICS.2005.1689041","DOIUrl":null,"url":null,"abstract":"The selection and collection of the node state information have great impact on the design complexity and performance of a QoS routing algorithm. Continuous-media traffic (e.g. audio and video) can tolerate some loss but has rigid delay constraints. Under this QoS constraint, the node-delay's probability density function (PDF) is used to character the node state. The continuous-media traffic is in high burst. So the node-delay's PDF is shaped into normal distribution through a filter algorithm. Analysis and simulation show that the tail probability of the normal distribution can be used to calculate the end-to-end packet loss rate approximately. Then the variance and mean value of the PDF can be controlled to calculate a proper packet loss rate to satisfy the QoS demand. So normal distribution is a simple, achievable and reasonable description","PeriodicalId":425178,"journal":{"name":"2005 5th International Conference on Information Communications & Signal Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 5th International Conference on Information Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICS.2005.1689041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The selection and collection of the node state information have great impact on the design complexity and performance of a QoS routing algorithm. Continuous-media traffic (e.g. audio and video) can tolerate some loss but has rigid delay constraints. Under this QoS constraint, the node-delay's probability density function (PDF) is used to character the node state. The continuous-media traffic is in high burst. So the node-delay's PDF is shaped into normal distribution through a filter algorithm. Analysis and simulation show that the tail probability of the normal distribution can be used to calculate the end-to-end packet loss rate approximately. Then the variance and mean value of the PDF can be controlled to calculate a proper packet loss rate to satisfy the QoS demand. So normal distribution is a simple, achievable and reasonable description