Vehicle Position Updating Strategy Based on Kalman Filter Prediction in VANET Environment

In VANET (vehicular ad hoc network) environment, the successive vehicle position data actually are discrete, so the key to the moving vehicle modeling is to effectively reduce the updating frequency of the position data so as to alleviate the communication and database management load. This paper pr...

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Main Authors: Yuanfu Mo, Dexin Yu, Jun Song, Kun Zheng, Yajuan Guo
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2016/1404396
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author Yuanfu Mo
Dexin Yu
Jun Song
Kun Zheng
Yajuan Guo
author_facet Yuanfu Mo
Dexin Yu
Jun Song
Kun Zheng
Yajuan Guo
author_sort Yuanfu Mo
collection DOAJ
description In VANET (vehicular ad hoc network) environment, the successive vehicle position data actually are discrete, so the key to the moving vehicle modeling is to effectively reduce the updating frequency of the position data so as to alleviate the communication and database management load. This paper proposes vehicle position data updating strategy with packet repetition based on Kalman filter predicting. Firstly, we design a position data updating model based on Kalman filter difference predicting equations. Then, we design a packet repetition mode decision algorithm, which is applied to deliver vehicle position updating data. The model with packet repetition can not only generate position updating data according to preset threshold, but also decide packet repetition mode related to the distance of two adjacent vehicles in order to reduce data loss. Both simulated highway and realistic urban road experimental results show that vehicle position data updating frequency could be obviously reduced and the reliability of the communication is greatly improved through packet repetition mechanism by using this position updating strategy.
format Article
id doaj-art-8ce782cbb54d418a8b4ff285fa66715b
institution Kabale University
issn 1026-0226
1607-887X
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-8ce782cbb54d418a8b4ff285fa66715b2025-08-20T03:37:44ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/14043961404396Vehicle Position Updating Strategy Based on Kalman Filter Prediction in VANET EnvironmentYuanfu Mo0Dexin Yu1Jun Song2Kun Zheng3Yajuan Guo4College of Transportation, Jilin University, Changchun 130022, ChinaCollege of Transportation, Jilin University, Changchun 130022, ChinaDalian International Airport, Dalian 116022, ChinaCollege of Transportation, Jilin University, Changchun 130022, ChinaCollege of Transportation, Jilin University, Changchun 130022, ChinaIn VANET (vehicular ad hoc network) environment, the successive vehicle position data actually are discrete, so the key to the moving vehicle modeling is to effectively reduce the updating frequency of the position data so as to alleviate the communication and database management load. This paper proposes vehicle position data updating strategy with packet repetition based on Kalman filter predicting. Firstly, we design a position data updating model based on Kalman filter difference predicting equations. Then, we design a packet repetition mode decision algorithm, which is applied to deliver vehicle position updating data. The model with packet repetition can not only generate position updating data according to preset threshold, but also decide packet repetition mode related to the distance of two adjacent vehicles in order to reduce data loss. Both simulated highway and realistic urban road experimental results show that vehicle position data updating frequency could be obviously reduced and the reliability of the communication is greatly improved through packet repetition mechanism by using this position updating strategy.http://dx.doi.org/10.1155/2016/1404396
spellingShingle Yuanfu Mo
Dexin Yu
Jun Song
Kun Zheng
Yajuan Guo
Vehicle Position Updating Strategy Based on Kalman Filter Prediction in VANET Environment
Discrete Dynamics in Nature and Society
title Vehicle Position Updating Strategy Based on Kalman Filter Prediction in VANET Environment
title_full Vehicle Position Updating Strategy Based on Kalman Filter Prediction in VANET Environment
title_fullStr Vehicle Position Updating Strategy Based on Kalman Filter Prediction in VANET Environment
title_full_unstemmed Vehicle Position Updating Strategy Based on Kalman Filter Prediction in VANET Environment
title_short Vehicle Position Updating Strategy Based on Kalman Filter Prediction in VANET Environment
title_sort vehicle position updating strategy based on kalman filter prediction in vanet environment
url http://dx.doi.org/10.1155/2016/1404396
work_keys_str_mv AT yuanfumo vehiclepositionupdatingstrategybasedonkalmanfilterpredictioninvanetenvironment
AT dexinyu vehiclepositionupdatingstrategybasedonkalmanfilterpredictioninvanetenvironment
AT junsong vehiclepositionupdatingstrategybasedonkalmanfilterpredictioninvanetenvironment
AT kunzheng vehiclepositionupdatingstrategybasedonkalmanfilterpredictioninvanetenvironment
AT yajuanguo vehiclepositionupdatingstrategybasedonkalmanfilterpredictioninvanetenvironment