A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks

Yi Chih Tung; Wen Jyi Hwang; Chih Hsiang Ho

doi:10.1109/CSE.2014.121

A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks

Yi Chih Tung, Wen Jyi Hwang, Chih Hsiang Ho

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper presents a novel QoS management algorithm for heterogeneous home networks using the general regression network (GRNN). The algorithm first establishes profiles of the responses of users to various usages of different communication links for different services. By the employment of the GRNN, the prediction of the future responses of a service from a user could then be made based on the profiles. Among the bandwidth allocations predicted to receive positive feedback, the algorithm finds the bandwidth allocation consuming minimum total bandwidth in the network. The algorithm requires no offline training and achieves fast adaptation to the responses of users. Both analytical and numerical analyses of the proposed algorithm have been included in the paper to show the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
Editors	Xingang Liu, Didier El Baz, Ching-Hsien Hsu, Kai Kang, Weifeng Chen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	519-526
Number of pages	8
ISBN (Electronic)	9781479979813
DOIs	https://doi.org/10.1109/CSE.2014.121
Publication status	Published - 2015 Jan 26
Event	17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 - Chengdu, China Duration: 2014 Dec 19 → 2014 Dec 21

Publication series

Name	Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014

Other

Other	17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
Country/Territory	China
City	Chengdu
Period	2014/12/19 → 2014/12/21

Keywords

Heterogeneous home networks
Neural networks
Quality of service

ASJC Scopus subject areas

Computer Science(all)
Electrical and Electronic Engineering
Control and Systems Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/CSE.2014.121

Cite this

Tung, Y. C., Hwang, W. J., & Ho, C. H. (2015). A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks. In X. Liu, D. El Baz, C-H. Hsu, K. Kang, & W. Chen (Eds.), Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 (pp. 519-526). Article 07023631 (Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSE.2014.121

A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks. / Tung, Yi Chih; Hwang, Wen Jyi; Ho, Chih Hsiang.
Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014. ed. / Xingang Liu; Didier El Baz; Ching-Hsien Hsu; Kai Kang; Weifeng Chen. Institute of Electrical and Electronics Engineers Inc., 2015. p. 519-526 07023631 (Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tung, YC, Hwang, WJ & Ho, CH 2015, A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks. in X Liu, D El Baz, C-H Hsu, K Kang & W Chen (eds), Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014., 07023631, Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014, Institute of Electrical and Electronics Engineers Inc., pp. 519-526, 17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014, Chengdu, China, 2014/12/19. https://doi.org/10.1109/CSE.2014.121

Tung YC, Hwang WJ, Ho CH. A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks. In Liu X, El Baz D, Hsu C-H, Kang K, Chen W, editors, Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 519-526. 07023631. (Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014). doi: 10.1109/CSE.2014.121

Tung, Yi Chih ; Hwang, Wen Jyi ; Ho, Chih Hsiang. / A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks. Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014. editor / Xingang Liu ; Didier El Baz ; Ching-Hsien Hsu ; Kai Kang ; Weifeng Chen. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 519-526 (Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014).

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abstract = "This paper presents a novel QoS management algorithm for heterogeneous home networks using the general regression network (GRNN). The algorithm first establishes profiles of the responses of users to various usages of different communication links for different services. By the employment of the GRNN, the prediction of the future responses of a service from a user could then be made based on the profiles. Among the bandwidth allocations predicted to receive positive feedback, the algorithm finds the bandwidth allocation consuming minimum total bandwidth in the network. The algorithm requires no offline training and achieves fast adaptation to the responses of users. Both analytical and numerical analyses of the proposed algorithm have been included in the paper to show the effectiveness of the proposed algorithm.",

keywords = "Heterogeneous home networks, Neural networks, Quality of service",

author = "Tung, {Yi Chih} and Hwang, {Wen Jyi} and Ho, {Chih Hsiang}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 ; Conference date: 19-12-2014 Through 21-12-2014",

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editor = "Xingang Liu and {El Baz}, Didier and Ching-Hsien Hsu and Kai Kang and Weifeng Chen",

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AB - This paper presents a novel QoS management algorithm for heterogeneous home networks using the general regression network (GRNN). The algorithm first establishes profiles of the responses of users to various usages of different communication links for different services. By the employment of the GRNN, the prediction of the future responses of a service from a user could then be made based on the profiles. Among the bandwidth allocations predicted to receive positive feedback, the algorithm finds the bandwidth allocation consuming minimum total bandwidth in the network. The algorithm requires no offline training and achieves fast adaptation to the responses of users. Both analytical and numerical analyses of the proposed algorithm have been included in the paper to show the effectiveness of the proposed algorithm.

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A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks

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