Optimization of network traffic

Mao Bin Hu; Rui Jiang; Ruili Wang; Wen Bo Du; Qing Song Wu

doi:10.1109/ICCA.2009.5410279

Optimization of network traffic

Mao Bin Hu, Rui Jiang, Ruili Wang, Wen Bo Du, Qing Song Wu

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model is proposed mainly for the information traffic system. It can also be modified to characterize the behavior of an urban traffic system. Our study can benefit the modern communication networks, urban transportation systems, airline traffic, and power grids.

Original language	English
Title of host publication	2009 IEEE International Conference on Control and Automation, ICCA 2009
Pages	2278-2281
Number of pages	4
DOIs	https://doi.org/10.1109/ICCA.2009.5410279
Publication status	Published - 2009
Externally published	Yes
Event	2009 IEEE International Conference on Control and Automation, ICCA 2009 - Christchurch, New Zealand Duration: 9 Dec 2009 → 11 Dec 2009

Publication series

Name	2009 IEEE International Conference on Control and Automation, ICCA 2009

Conference

Conference	2009 IEEE International Conference on Control and Automation, ICCA 2009
Country/Territory	New Zealand
City	Christchurch
Period	9/12/09 → 11/12/09

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Control and Systems Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICCA.2009.5410279

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@inproceedings{9ef5c340688f4d1992016435e90ef0f4,

title = "Optimization of network traffic",

abstract = "A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model is proposed mainly for the information traffic system. It can also be modified to characterize the behavior of an urban traffic system. Our study can benefit the modern communication networks, urban transportation systems, airline traffic, and power grids.",

author = "Hu, {Mao Bin} and Rui Jiang and Ruili Wang and Du, {Wen Bo} and Wu, {Qing Song}",

year = "2009",

doi = "10.1109/ICCA.2009.5410279",

language = "English",

isbn = "9781424447060",

series = "2009 IEEE International Conference on Control and Automation, ICCA 2009",

pages = "2278--2281",

booktitle = "2009 IEEE International Conference on Control and Automation, ICCA 2009",

note = "2009 IEEE International Conference on Control and Automation, ICCA 2009 ; Conference date: 09-12-2009 Through 11-12-2009",

}

Hu, MB, Jiang, R, Wang, R, Du, WB & Wu, QS 2009, Optimization of network traffic. in 2009 IEEE International Conference on Control and Automation, ICCA 2009., 5410279, 2009 IEEE International Conference on Control and Automation, ICCA 2009, pp. 2278-2281, 2009 IEEE International Conference on Control and Automation, ICCA 2009, Christchurch, New Zealand, 9/12/09. https://doi.org/10.1109/ICCA.2009.5410279

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AU - Hu, Mao Bin

AU - Jiang, Rui

AU - Wang, Ruili

AU - Du, Wen Bo

AU - Wu, Qing Song

PY - 2009

Y1 - 2009

N2 - A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model is proposed mainly for the information traffic system. It can also be modified to characterize the behavior of an urban traffic system. Our study can benefit the modern communication networks, urban transportation systems, airline traffic, and power grids.

AB - A network traffic system can be tuned by three factors: (i) the topology of underlying infrastructure; (ii) the distribution of traffic resources; (iii) the routing strategy. In this paper, we propose a model to study the optimization of network capacity based on complex network theory. We study the optimization method of network traffic in several situations corresponding to the real cases. The model is proposed mainly for the information traffic system. It can also be modified to characterize the behavior of an urban traffic system. Our study can benefit the modern communication networks, urban transportation systems, airline traffic, and power grids.

UR - http://www.scopus.com/inward/record.url?scp=77950450024&partnerID=8YFLogxK

U2 - 10.1109/ICCA.2009.5410279

DO - 10.1109/ICCA.2009.5410279

M3 - Conference contribution

AN - SCOPUS:77950450024

SN - 9781424447060

T3 - 2009 IEEE International Conference on Control and Automation, ICCA 2009

SP - 2278

EP - 2281

BT - 2009 IEEE International Conference on Control and Automation, ICCA 2009

T2 - 2009 IEEE International Conference on Control and Automation, ICCA 2009

Y2 - 9 December 2009 through 11 December 2009

ER -

Optimization of network traffic

Abstract

Publication series

Conference

ASJC Scopus subject areas

UN SDGs

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