Congestion control strategy of VANET channel based on load prediction
In the VANET, excessively high vehicle density will cause channel congestion, and the occurrence of channel congestion will seriously affect the performance of the cooperative vehicle safety system. Aiming at this problem, a C2SLP congestion control strategy based on the prediction of vehicle networ...
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| Format: | Article |
| Language: | zho |
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National Computer System Engineering Research Institute of China
2022-03-01
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| Series: | Dianzi Jishu Yingyong |
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| Online Access: | http://www.chinaaet.com/article/3000147055 |
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| _version_ | 1849421566711955456 |
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| author | Yang Ge Zhu Yonghao |
| author_facet | Yang Ge Zhu Yonghao |
| author_sort | Yang Ge |
| collection | DOAJ |
| description | In the VANET, excessively high vehicle density will cause channel congestion, and the occurrence of channel congestion will seriously affect the performance of the cooperative vehicle safety system. Aiming at this problem, a C2SLP congestion control strategy based on the prediction of vehicle network channel load is designed. The strategy is divided into three steps. Firstly, use the detection function in the carrier-sensing multiple access protocol to obtain the busy and busy status of the channel, and perform load evaluation according to the proportion of the busy time of the channel. Then the obtained results are substituted into the autoregressive moving average model to predict the next channel load value at the moment. Finally the obtained load prediction value is compared with the preset standard value, and the power control algorithm is used to adjust the transmission power according to the comparison result to avoid channel congestion in advance. The simulation experiment results show that this strategy can stabilize the channel occupancy at about 0.6 and the transmission delay at about 30 ms. Compared with the UBRCC algorithm，this strategy can effectively reduce the transmission delay while controlling channel congestion, ensure the reliable transmission of data packets, and meet the requirements of vehicle safety applications. |
| format | Article |
| id | doaj-art-e99c882d5da5405c84c0262c34664e09 |
| institution | Kabale University |
| issn | 0258-7998 |
| language | zho |
| publishDate | 2022-03-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj-art-e99c882d5da5405c84c0262c34664e092025-08-20T03:31:26ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982022-03-01483646710.16157/j.issn.0258-7998.2119963000147055Congestion control strategy of VANET channel based on load predictionYang Ge0Zhu Yonghao1Key Laboratory of Intelligent Multimedia Technology，Beijing Normal University(Zhuhai Campus)，Zhuhai 519087，ChinaKey Laboratory of Intelligent Multimedia Technology，Beijing Normal University(Zhuhai Campus)，Zhuhai 519087，ChinaIn the VANET, excessively high vehicle density will cause channel congestion, and the occurrence of channel congestion will seriously affect the performance of the cooperative vehicle safety system. Aiming at this problem, a C2SLP congestion control strategy based on the prediction of vehicle network channel load is designed. The strategy is divided into three steps. Firstly, use the detection function in the carrier-sensing multiple access protocol to obtain the busy and busy status of the channel, and perform load evaluation according to the proportion of the busy time of the channel. Then the obtained results are substituted into the autoregressive moving average model to predict the next channel load value at the moment. Finally the obtained load prediction value is compared with the preset standard value, and the power control algorithm is used to adjust the transmission power according to the comparison result to avoid channel congestion in advance. The simulation experiment results show that this strategy can stabilize the channel occupancy at about 0.6 and the transmission delay at about 30 ms. Compared with the UBRCC algorithm，this strategy can effectively reduce the transmission delay while controlling channel congestion, ensure the reliable transmission of data packets, and meet the requirements of vehicle safety applications.http://www.chinaaet.com/article/3000147055vanetload evaluationload forecastingpower control |
| spellingShingle | Yang Ge Zhu Yonghao Congestion control strategy of VANET channel based on load prediction Dianzi Jishu Yingyong vanet load evaluation load forecasting power control |
| title | Congestion control strategy of VANET channel based on load prediction |
| title_full | Congestion control strategy of VANET channel based on load prediction |
| title_fullStr | Congestion control strategy of VANET channel based on load prediction |
| title_full_unstemmed | Congestion control strategy of VANET channel based on load prediction |
| title_short | Congestion control strategy of VANET channel based on load prediction |
| title_sort | congestion control strategy of vanet channel based on load prediction |
| topic | vanet load evaluation load forecasting power control |
| url | http://www.chinaaet.com/article/3000147055 |
| work_keys_str_mv | AT yangge congestioncontrolstrategyofvanetchannelbasedonloadprediction AT zhuyonghao congestioncontrolstrategyofvanetchannelbasedonloadprediction |