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Multimedia data fusion method based on wireless sensor network in intelligent transportation system

  • Fanyu KongEmail author
  • Yufeng Zhou
  • Gang Chen
Article
  • 27 Downloads

Abstract

In order to realize the ubiquitous perception of urban traffic system integration, a universal technology architecture supporting multiple heterogeneous access, universalization and tailoring is needed to realize the interconnection and interoperability of perception systems in different application scenarios. Based on the analysis of typical application scenarios in traffic field and the performance characteristics of wireless and wired sensor networks, a method of bandwidth allocation for network resources in urban traffic application environment is proposed in this paper, especially in the scenario of high-speed train movement, in order to improve the transmission efficiency of wireless sensor networks. An information matching method for sensor networks is proposed. The correlation among multi-sensors is used to fuse the monitoring information in the coverage area of the sensing system, which is helpful to improve the resolution and accuracy of the system. The theory is applied to vehicle type recognition in traffic flow detection. The simulation results show that the proposed data fusion scheme has obvious advantages over the similar LEACH protocol in terms of energy consumption and fusion accuracy of common nodes.

Keywords

Data fusion Sensor network Intelligent transportation system Fusion accuracy Bandwidth allocation Perception process Vehicle recognition 

Notes

Acknowledgements

This work is supported by National Natural Science Foundation of China (No.71702015); China Postdoctoral Science Foundation (No.2017 M611810); Social Science Planning Major Application Project in Chongqing (No.2017ZDYY51); Chongqing Engineering Technology Research Center for Development Information Management Open Foundation (No. gczxkf201706); The Research platform Open Project in CTBU (No.1456041, No. KFJJ2017058, No. KFJJ2017061).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Chongqing Engineering Technology Research Center for Development Information ManagementChongqing Technology and Business UniversityChongqingChina
  2. 2.Postdoctoral Research Station of Management Science and EngineeringNanjing University of Aeronautics & AstronauticsNanjingChina
  3. 3.College of Architecture and Urban PlanningChongqing UniversityChongqingChina

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