《電子技術(shù)應(yīng)用》
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基于負載預(yù)測的車聯(lián)網(wǎng)信道擁塞控制策略
2022年電子技術(shù)應(yīng)用第3期
楊 戈1,,2,,朱永豪1
1.北京師范大學(xué)珠海分校 智能多媒體技術(shù)重點實驗室,,廣東 珠海519087; 2.北京師范大學(xué)自然科學(xué)高等研究院,,廣東 珠海519087
摘要: 在車聯(lián)網(wǎng)中,,過高的車輛密度會造成信道擁塞,信道擁塞的發(fā)生會嚴(yán)重影響協(xié)同車輛安全系統(tǒng)的性能,。針對此問題,,設(shè)計實現(xiàn)了一種基于車聯(lián)網(wǎng)信道負載預(yù)測的擁塞控制策略(Congestion Control Strategy based on Channel Load Prediction,C2SLP),。該策略分為3個模塊,,首先使用載波偵聽多址訪問協(xié)議中的檢測功能獲取信道閑忙狀態(tài)進行負載評估,然后將所得結(jié)果代入自回歸移動平均模型(Auto Regressive Integrated Moving Average,ARIMA)對下一時刻的信道負載值進行預(yù)測,,最后將所得負載預(yù)測值與預(yù)設(shè)的標(biāo)準(zhǔn)值進行比較,,根據(jù)對比結(jié)果使用功率控制算法調(diào)整傳輸功率,實現(xiàn)提前避免信道擁塞,。仿真實驗結(jié)果表明,,C2SLP將信道占有率穩(wěn)定在0.6左右,傳輸時延穩(wěn)定在30 ms左右,,明顯優(yōu)于UBRCC算法,,C2SLP在控制信道擁塞的同時有效減少傳輸時延,確保數(shù)據(jù)包可靠發(fā)送,,滿足車輛安全應(yīng)用需求。
中圖分類號: TN915.03
文獻標(biāo)識碼: A
DOI:10.16157/j.issn.0258-7998.211996
中文引用格式: 楊戈,,朱永豪. 基于負載預(yù)測的車聯(lián)網(wǎng)信道擁塞控制策略[J].電子技術(shù)應(yīng)用,,2022,48(3):64-67,,72.
英文引用格式: Yang Ge,,Zhu Yonghao. Congestion control strategy of VANET channel based on load prediction[J]. Application of Electronic Technique,2022,,48(3):64-67,,72.
Congestion control strategy of VANET channel based on load prediction
Yang Ge1,2,,Zhu Yonghao1
1.Key Laboratory of Intelligent Multimedia Technology,,Beijing Normal University(Zhuhai Campus),Zhuhai 519087,,China,; 2.Advanced Institute of Natural Sciences, Beijing Normal University,Zhuhai 519087,,China
Abstract: 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.
Key words : VANET;load evaluation,;load forecasting,;power control

0 引言

    近年來我國汽車總量持續(xù)增加,社會急需建立基于車聯(lián)網(wǎng)的新型智能交通管理系統(tǒng),。智能交通管理系統(tǒng)能夠?qū)Ξ?dāng)前道路交通狀況進行實時監(jiān)控,,對道路車輛進行交通疏導(dǎo),保證車輛駕駛員的行車安全,。

    目前,,5G網(wǎng)絡(luò)基本實現(xiàn)了全面部署,VANET(Vehicle Ad hoc Network)車聯(lián)網(wǎng)成為了各國家重點發(fā)展方向。2020年,,歐盟,、美國、俄羅斯等都將車聯(lián)網(wǎng)發(fā)展作為國家重點扶持項目,,將車聯(lián)網(wǎng)全面部署作為國家重大目標(biāo),。同樣地,我國也已經(jīng)將車聯(lián)網(wǎng)作為國家重點發(fā)展項目進行研究和推進,,正在重點發(fā)展車聯(lián)網(wǎng)的自動駕駛技術(shù)和輔助駕駛技術(shù)產(chǎn)業(yè)化的研究[1-7],。




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作者信息:

楊  戈1,,2,,朱永豪1

(1.北京師范大學(xué)珠海分校 智能多媒體技術(shù)重點實驗室,廣東 珠海519087,;

2.北京師范大學(xué)自然科學(xué)高等研究院,,廣東 珠海519087)




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