@inproceedings{2d897c1f23184110bbd011b9fe43efff,
title = "A Two-Level Adaptive Resource Allocation Algorithm for Quality of Service Guarantee in Home WiFi Networks",
abstract = "Aiming at the problem that the service quality of audio and video, large file transmission and other services is difficult to guarantee in the home Wireless Fidelity (WiFi) network, this paper proposes a two-level adaptive resource allocation algorithm for quality of service guarantee (TRAQ), which can effectively avoid the starvation of large file transmission, to improve the success rate of audio and video service establishment and the fairness of multiple large file transmissions. Firstly, the quality-of-service guarantee problem of audio and video, large file transmission is modeled as the resource allocation problem in the scheduling period, with the goal of minimizing the Gini coefficient of multiple large file transmission rates and the constraint of ensuring the average transmission rate of all large files and the call loss rate of audio and video. Then, the arrival and service process of audio and video services is modeled as a M/M/m/m queuing model, and the first-level resource allocation ratio between the audio and video services and the large files services is obtained. Secondly, the second-level resource allocation ratio minimizing the Gini coefficient of large file transmission services is derived. Finally, the simulation results show that the proposed TRAQ not only balances the service requirements between the two types of services, but also achieves a certain transmission fairness within the large file transmission services.",
keywords = "Call Loss Rate, Home WiFi Network, Services Starved, TRAQ",
author = "Zhang, \{Zhan Yu\} and Bo Li and Zhongjiang Yan and Mao Yang",
note = "Publisher Copyright: {\textcopyright} 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 6th International Conference on Smart Grid and Internet of Things, SGIoT 2022 ; Conference date: 19-11-2022 Through 20-11-2022",
year = "2023",
doi = "10.1007/978-3-031-31275-5\_19",
language = "英语",
isbn = "9783031312748",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "186--199",
editor = "Der-Jiunn Deng and Han-Chieh Chao and Jyh-Cheng Chen",
booktitle = "Smart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings",
}