Sensor Network Node Positioning and Fusion Algorithm of Electric Vehicle Charging Stood in Cloud Computing

DOI

10.2991/amcce-15.2015.181How to use a DOI?

Keywords

electric vehicles; charging station; wireless sensor network; localization

Abstract

In the cloud computing environment, the sensor net model of electric vehicle charging station is designed, the fusion and localization algorithm of sensor network nodes are researched, the mobile terminal is used to realize the quickly localization and searching for electric vehicle charging station, charging station can be localized, and improve service function. A fusion and positioning algorithm of sensor network nodes is proposed based on strong tracking distance estimation. The station sensor network channel estimation and modulation model of electric vehicle charging is constructed, in the cloud computing environment, stochastic resonance fusion technology is taken to realize the accurate positioning and data fusion of WSN nodes. The station structure model of electric vehicle charging is obtained, and the multi-sensor data fusion filtering is realized. The noise suppression is obtained, and the state estimation and information value are calculated. The method of tracking filter taken for distance estimation, the charging fusion and positioning of station nodes is obtained. The experiment results show that the accuracy of station sensor network node distance estimation and fusion positioning is high, and it has superior performance in application.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lijuan Xu
AU  - Dalong Liu
PY  - 2015/04
DA  - 2015/04
TI  - Sensor Network Node Positioning and Fusion Algorithm of Electric Vehicle Charging Stood in Cloud Computing
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 770
EP  - 775
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.181
DO  - 10.2991/amcce-15.2015.181
ID  - Xu2015/04
ER  -