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

Yi Chih Tung, Wen Jyi Hwang, Chih Hsiang Ho

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings - 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
EditorsXingang Liu, Didier El Baz, Ching-Hsien Hsu, Kai Kang, Weifeng Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages519-526
Number of pages8
ISBN (Electronic)9781479979813
DOIs
Publication statusPublished - 2015 Jan 26
Event17th 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 192014 Dec 21

Publication series

NameProceedings - 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

Other17th 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
CountryChina
CityChengdu
Period14/12/1914/12/21

Fingerprint

Home networks
Quality of service
Neural networks
Frequency allocation
Telecommunication links
Feedback
Bandwidth

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

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). [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 proceedingConference 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, 14/12/19. 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). https://doi.org/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).
@inproceedings{a6820e2c696c4e7bb9ec696017f4eed9,
title = "A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks",
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}",
year = "2015",
month = "1",
day = "26",
doi = "10.1109/CSE.2014.121",
language = "English",
series = "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",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "519--526",
editor = "Xingang Liu and {El Baz}, Didier and Ching-Hsien Hsu and Kai Kang and Weifeng Chen",
booktitle = "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",

}

TY - GEN

T1 - A novel QoS mapping algorithm for heterogeneous home networks using general regression neural networks

AU - Tung, Yi Chih

AU - Hwang, Wen Jyi

AU - Ho, Chih Hsiang

PY - 2015/1/26

Y1 - 2015/1/26

N2 - 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.

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.

KW - Heterogeneous home networks

KW - Neural networks

KW - Quality of service

UR - http://www.scopus.com/inward/record.url?scp=84925240178&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84925240178&partnerID=8YFLogxK

U2 - 10.1109/CSE.2014.121

DO - 10.1109/CSE.2014.121

M3 - Conference contribution

AN - SCOPUS:84925240178

T3 - 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

SP - 519

EP - 526

BT - 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

A2 - Liu, Xingang

A2 - El Baz, Didier

A2 - Hsu, Ching-Hsien

A2 - Kang, Kai

A2 - Chen, Weifeng

PB - Institute of Electrical and Electronics Engineers Inc.

ER -