{"title":"A Hybrid Energy-Aware Video Bitrate Adaptation Algorithm for Mobile Networks","authors":"Fábio Araújo, D. Rosário, E. Cerqueira, L. Villas","doi":"10.23919/WONS.2019.8795455","DOIUrl":null,"url":null,"abstract":"The number of mobile devices that use video streaming applications has been steadily rising year after year. Platforms responsible for providing multimedia service face great challenges in delivering high-quality content for mobile users. One main problem in sharing video flows is the high energy consumption in mobile devices, which reduces their lifetime. A video adaptation approach with Quality of Experience (QoE) support is a key issue to increase the user experience while watching videos as well as reduce the energy consumption in mobile devices. In this paper, we propose a hybrid energy-aware video bitrate adaptation algorithm to deliver videos with high QoE and energy-efficiency for mobile users. Simulation results show the efficiency of the proposed algorithm compared to existing adaptation video bitrate algorithms, reducing the number and duration of stalls, as well as saving energy.","PeriodicalId":185451,"journal":{"name":"2019 15th Annual Conference on Wireless On-demand Network Systems and Services (WONS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 15th Annual Conference on Wireless On-demand Network Systems and Services (WONS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/WONS.2019.8795455","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The number of mobile devices that use video streaming applications has been steadily rising year after year. Platforms responsible for providing multimedia service face great challenges in delivering high-quality content for mobile users. One main problem in sharing video flows is the high energy consumption in mobile devices, which reduces their lifetime. A video adaptation approach with Quality of Experience (QoE) support is a key issue to increase the user experience while watching videos as well as reduce the energy consumption in mobile devices. In this paper, we propose a hybrid energy-aware video bitrate adaptation algorithm to deliver videos with high QoE and energy-efficiency for mobile users. Simulation results show the efficiency of the proposed algorithm compared to existing adaptation video bitrate algorithms, reducing the number and duration of stalls, as well as saving energy.