AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (397.4 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline

Topology Optimization for Urban Traffic Sensor Network

Jianming HU( )Jingyan SONGMingchen ZHANGXiaojing KANG
Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing 100084, China
Show Author Information

Abstract

This paper presents an optimized topology for urban traffic sensor networks. Small world theory is used to improve the performance of the wireless communication system with a heterogeneous transmission model and an optimal transmission radius. Furthermore, a series of simulations based on the actual road network around the 2nd Ring Road in Beijing demonstrate the practicability of constructing artificial “small worlds”. Moreover, the particle swarm optimization method is used to calculate the globally best distribution of the nodes with the large radius. The methods proposed in this paper will be helpful to the sensor nodes deployment of the new urban traffic sensor networks.

References

【1】
【1】
 
 
Tsinghua Science and Technology
Pages 229-236

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
HU J, SONG J, ZHANG M, et al. Topology Optimization for Urban Traffic Sensor Network. Tsinghua Science and Technology, 2008, 13(2): 229-236. https://doi.org/10.1016/S1007-0214(08)70037-3

2

Views

0

Downloads

0

Crossref

N/A

Web of Science

0

Scopus

0

CSCD

Received: 10 June 2007
Revised: 03 November 2007
Published: 01 April 2008
© Tsinghua University Press 2008