A Novel User-Oriented Quality of Service Algorithm for Home Networks

Wen Jyi Hwang; Yi Chih Tung; Ying Lun Chen; Po Yu Lai; Chih Hsiang Ho

doi:10.1109/JSYST.2015.2480869

A Novel User-Oriented Quality of Service Algorithm for Home Networks

Wen Jyi Hwang, Yi Chih Tung, Ying Lun Chen, Po Yu Lai, Chih Hsiang Ho

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

This paper aims to present a novel dynamic quality of service (QoS) algorithm for home networks. The algorithm carries out the QoS management of a service for a user in a home network based on the profile consisting of the past responses of the user for that service. It performs the prediction of the future responses to the service from the profile using the general regression neural network algorithm. The algorithm finds the bandwidth allocation consuming minimum total bandwidth among those predicted to produce desired responses. The minimum bandwidth allocation is then used for the service. The corresponding user responses are used to update the profiles for the subsequent dynamic QoS managements. The algorithm requires no offline training and achieves fast adaptation to the user responses. Both analytical and numerical results reveal that the proposed algorithm provides an effective alternative for user-oriented QoS management in the heterogeneous home networks.

Original language	English
Pages (from-to)	548-559
Number of pages	12
Journal	IEEE Systems Journal
Volume	12
Issue number	1
DOIs	https://doi.org/10.1109/JSYST.2015.2480869
Publication status	Published - 2018 Mar

Keywords

Communication system traffic control
local area networks (LANs)
neural networks
quality management
quality of service (QoS)

ASJC Scopus subject areas

Control and Systems Engineering
Information Systems
Computer Science Applications
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/JSYST.2015.2480869

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abstract = "This paper aims to present a novel dynamic quality of service (QoS) algorithm for home networks. The algorithm carries out the QoS management of a service for a user in a home network based on the profile consisting of the past responses of the user for that service. It performs the prediction of the future responses to the service from the profile using the general regression neural network algorithm. The algorithm finds the bandwidth allocation consuming minimum total bandwidth among those predicted to produce desired responses. The minimum bandwidth allocation is then used for the service. The corresponding user responses are used to update the profiles for the subsequent dynamic QoS managements. The algorithm requires no offline training and achieves fast adaptation to the user responses. Both analytical and numerical results reveal that the proposed algorithm provides an effective alternative for user-oriented QoS management in the heterogeneous home networks.",

keywords = "Communication system traffic control, local area networks (LANs), neural networks, quality management, quality of service (QoS)",

author = "Hwang, {Wen Jyi} and Tung, {Yi Chih} and Chen, {Ying Lun} and Lai, {Po Yu} and Ho, {Chih Hsiang}",

note = "Funding Information: Manuscript received April 9, 2015; revised July 15, 2015 and August 13, 2015; accepted September 17, 2015. Date of publication October 14, 2015; date of current version March 23, 2018. This study is conducted under the Developing Convergent Technology for Home HetNet Project of the Institute for Information Industry, which is subsidized by the Ministry of Economic Affairs of Republic of China. Publisher Copyright: {\textcopyright} 2007-2012 IEEE.",

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AU - Ho, Chih Hsiang

N1 - Funding Information: Manuscript received April 9, 2015; revised July 15, 2015 and August 13, 2015; accepted September 17, 2015. Date of publication October 14, 2015; date of current version March 23, 2018. This study is conducted under the Developing Convergent Technology for Home HetNet Project of the Institute for Information Industry, which is subsidized by the Ministry of Economic Affairs of Republic of China. Publisher Copyright: © 2007-2012 IEEE.

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N2 - This paper aims to present a novel dynamic quality of service (QoS) algorithm for home networks. The algorithm carries out the QoS management of a service for a user in a home network based on the profile consisting of the past responses of the user for that service. It performs the prediction of the future responses to the service from the profile using the general regression neural network algorithm. The algorithm finds the bandwidth allocation consuming minimum total bandwidth among those predicted to produce desired responses. The minimum bandwidth allocation is then used for the service. The corresponding user responses are used to update the profiles for the subsequent dynamic QoS managements. The algorithm requires no offline training and achieves fast adaptation to the user responses. Both analytical and numerical results reveal that the proposed algorithm provides an effective alternative for user-oriented QoS management in the heterogeneous home networks.

AB - This paper aims to present a novel dynamic quality of service (QoS) algorithm for home networks. The algorithm carries out the QoS management of a service for a user in a home network based on the profile consisting of the past responses of the user for that service. It performs the prediction of the future responses to the service from the profile using the general regression neural network algorithm. The algorithm finds the bandwidth allocation consuming minimum total bandwidth among those predicted to produce desired responses. The minimum bandwidth allocation is then used for the service. The corresponding user responses are used to update the profiles for the subsequent dynamic QoS managements. The algorithm requires no offline training and achieves fast adaptation to the user responses. Both analytical and numerical results reveal that the proposed algorithm provides an effective alternative for user-oriented QoS management in the heterogeneous home networks.

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KW - local area networks (LANs)

KW - neural networks

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A Novel User-Oriented Quality of Service Algorithm for Home Networks

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Keywords

ASJC Scopus subject areas

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