{"title":"无线网络延迟敏感调度的建模与分析","authors":"K. Umadevi, Mahima Gupta, Somani Siddhant Subodh","doi":"10.1109/ICMDCS.2017.8211726","DOIUrl":null,"url":null,"abstract":"Using the channel utility factor, in this work an analytical model for wireless networks IEEE 802.11 is proposed to calculate the delay experienced while serving a request in the scheduler part. The proposed delay sensitive scheduling algorithm considers the nature of the data. The delay incurred due to scheduling overhead is analyzed in order to address unfair treatment of users. The motivation behind this work is to maximize average time channel utilization. The Rated Queue effectively characterizes the unsaturated traffic condition. In addition, different types of services are addressed to quantify Quality of Service to address different delay constraints. This model explores the time and channel utilization to guarantee and enhance the network performance.","PeriodicalId":314717,"journal":{"name":"2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A modeling and analysis of delay sensitive scheduling in wireless network\",\"authors\":\"K. Umadevi, Mahima Gupta, Somani Siddhant Subodh\",\"doi\":\"10.1109/ICMDCS.2017.8211726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using the channel utility factor, in this work an analytical model for wireless networks IEEE 802.11 is proposed to calculate the delay experienced while serving a request in the scheduler part. The proposed delay sensitive scheduling algorithm considers the nature of the data. The delay incurred due to scheduling overhead is analyzed in order to address unfair treatment of users. The motivation behind this work is to maximize average time channel utilization. The Rated Queue effectively characterizes the unsaturated traffic condition. In addition, different types of services are addressed to quantify Quality of Service to address different delay constraints. This model explores the time and channel utilization to guarantee and enhance the network performance.\",\"PeriodicalId\":314717,\"journal\":{\"name\":\"2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMDCS.2017.8211726\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMDCS.2017.8211726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A modeling and analysis of delay sensitive scheduling in wireless network
Using the channel utility factor, in this work an analytical model for wireless networks IEEE 802.11 is proposed to calculate the delay experienced while serving a request in the scheduler part. The proposed delay sensitive scheduling algorithm considers the nature of the data. The delay incurred due to scheduling overhead is analyzed in order to address unfair treatment of users. The motivation behind this work is to maximize average time channel utilization. The Rated Queue effectively characterizes the unsaturated traffic condition. In addition, different types of services are addressed to quantify Quality of Service to address different delay constraints. This model explores the time and channel utilization to guarantee and enhance the network performance.