By Topic

A self-adapting data collection approach in wireless sensor networks for urban traffic information monitoring

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Huaping Yu ; College of Computer Science, Yangtze University, Jingzhou, China ; Mei Guo

Wireless sensor networks (WSN) offer the potential to significantly improve the efficiency of existing intelligent transportation systems(ITS). Currently, collecting urban traffic information for traffic planning and management based on single floating vehicle technology has the disadvantages of long data packet delivery delay and big delay dithering. The usage of WSN in ITS is expected to be able to overcome the above difficulties. This paper proposes hybrid traffic information collection and communication algorithm based on WSN and floating vehicle technologies. And a simulation to analyze and evaluate the algorithm's performances is implemented. The result shows that the proposed algorithm can ensure the urgency data to be propagated effectively. It is characterized with higher cost performance, flexibility and control efficiency, comparing with the current ITS system based on single floating vehicle technologies or single WSN technologies.

Published in:

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on  (Volume:1 )

Date of Conference:

29-31 Oct. 2010