Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu, Song Guo
{"title":"基于混合无线网络的智能手机节能高效协同移动流媒体","authors":"Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu, Song Guo","doi":"10.1109/ICPP.2015.33","DOIUrl":null,"url":null,"abstract":"The ever-increasing demands on mobile streaming over smartphones make the cellular networks always occupied by heavy load under traditional base-station-to-device (B2D) based streaming architecture, and even degrade the quality of service (QoS) seriously. To offload the traffic of cellular networks and provide scalable mobile streaming services with guaranteed QoS, in this paper we propose a device-to-device (D2D) communication motivated cooperative streaming framework by exploiting the capacity of both WiFi interface and cellular interface equipped with smartphones. Specifically, under the energy constraint of individual smartphone, we develop technique to minimize the over traffic of the cellular network by efficiently disseminating video over the D2D network with multi-hop routing supported. We formulate such an energy-aware cost-effective video dissemination problem as an integer linear programming problem, and show it to be NP-hard and even hard to approximate. We further present an energy allocation based algorithm and a simulated annealing heuristic algorithm which provide a trade-off between the performance and complexity to support the dissemination scheduling of cooperative mobile streaming. We evaluate the performance effectiveness of our proposal via both theoretical analysis and extensive simulation.","PeriodicalId":423007,"journal":{"name":"2015 44th International Conference on Parallel Processing","volume":"182 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks\",\"authors\":\"Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu, Song Guo\",\"doi\":\"10.1109/ICPP.2015.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ever-increasing demands on mobile streaming over smartphones make the cellular networks always occupied by heavy load under traditional base-station-to-device (B2D) based streaming architecture, and even degrade the quality of service (QoS) seriously. To offload the traffic of cellular networks and provide scalable mobile streaming services with guaranteed QoS, in this paper we propose a device-to-device (D2D) communication motivated cooperative streaming framework by exploiting the capacity of both WiFi interface and cellular interface equipped with smartphones. Specifically, under the energy constraint of individual smartphone, we develop technique to minimize the over traffic of the cellular network by efficiently disseminating video over the D2D network with multi-hop routing supported. We formulate such an energy-aware cost-effective video dissemination problem as an integer linear programming problem, and show it to be NP-hard and even hard to approximate. We further present an energy allocation based algorithm and a simulated annealing heuristic algorithm which provide a trade-off between the performance and complexity to support the dissemination scheduling of cooperative mobile streaming. We evaluate the performance effectiveness of our proposal via both theoretical analysis and extensive simulation.\",\"PeriodicalId\":423007,\"journal\":{\"name\":\"2015 44th International Conference on Parallel Processing\",\"volume\":\"182 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 44th International Conference on Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPP.2015.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 44th International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2015.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks
The ever-increasing demands on mobile streaming over smartphones make the cellular networks always occupied by heavy load under traditional base-station-to-device (B2D) based streaming architecture, and even degrade the quality of service (QoS) seriously. To offload the traffic of cellular networks and provide scalable mobile streaming services with guaranteed QoS, in this paper we propose a device-to-device (D2D) communication motivated cooperative streaming framework by exploiting the capacity of both WiFi interface and cellular interface equipped with smartphones. Specifically, under the energy constraint of individual smartphone, we develop technique to minimize the over traffic of the cellular network by efficiently disseminating video over the D2D network with multi-hop routing supported. We formulate such an energy-aware cost-effective video dissemination problem as an integer linear programming problem, and show it to be NP-hard and even hard to approximate. We further present an energy allocation based algorithm and a simulated annealing heuristic algorithm which provide a trade-off between the performance and complexity to support the dissemination scheduling of cooperative mobile streaming. We evaluate the performance effectiveness of our proposal via both theoretical analysis and extensive simulation.