Fuzzy-Based Hybrid Location Algorithm for Vehicle Position in VANETs via Fuzzy Kalman Filtering Approach
Joint Authors
Yu, Yingjun
Tang, Jie
Zhan, Jiawei
Xu, Wei
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Location information is very critical to VANETs such as navigation, routing, network management, and road congestion.
In this paper, the vehicle location problem under urban road conditions is investigated by employing the GPS, WiFi, and Cellular Network (CN) positioning systems and by developing neighbor vehicle utilization in VANETs.
Since GPS is possibly affected by satellite signal in real urban environment, while WiFi is only suitable for urban and CN is affected by the number of Base Stations (BSs) and signal strength, then a fuzzy-based hybrid location algorithm is developed.
The algorithm has some advantages that it can enhance these positioning features by establishing a new fuzzy-weighting location mechanism (FLM) and also can adjust dynamically the measurement noise covariance by making use of a novel fuzzy Kalman filtering method.
Finally, experiment results are given to show effectiveness and merit of the proposed approach.
American Psychological Association (APA)
Xu, Wei& Yu, Yingjun& Tang, Jie& Zhan, Jiawei. 2019. Fuzzy-Based Hybrid Location Algorithm for Vehicle Position in VANETs via Fuzzy Kalman Filtering Approach. Advances in Fuzzy Systems،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1118050
Modern Language Association (MLA)
Xu, Wei…[et al.]. Fuzzy-Based Hybrid Location Algorithm for Vehicle Position in VANETs via Fuzzy Kalman Filtering Approach. Advances in Fuzzy Systems No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1118050
American Medical Association (AMA)
Xu, Wei& Yu, Yingjun& Tang, Jie& Zhan, Jiawei. Fuzzy-Based Hybrid Location Algorithm for Vehicle Position in VANETs via Fuzzy Kalman Filtering Approach. Advances in Fuzzy Systems. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1118050
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118050