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: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2016/1404396 |
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| _version_ | 1849401541140676608 |
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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 |