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Support-Vector-Machine-based Adaptive Scheduling in Mode 4 Communication 被引量:1
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作者 Muhammad Adnan Khan Ahmed Abu-Khadrah +4 位作者 Shahan Yamin Siddiqui Taher M.Ghazal Tauqeer Faiz Munir Ahmad Sang-Woong Lee 《Computers, Materials & Continua》 SCIE EI 2022年第11期3319-3331,共13页
Vehicular ad-hoc networks(VANETs)are mobile networks that use and transfer data with vehicles as the network nodes.Thus,VANETs are essentially mobile ad-hoc networks(MANETs).They allow all the nodes to communicate and... Vehicular ad-hoc networks(VANETs)are mobile networks that use and transfer data with vehicles as the network nodes.Thus,VANETs are essentially mobile ad-hoc networks(MANETs).They allow all the nodes to communicate and connect with one another.One of the main requirements in a VANET is to provide self-decision capability to the vehicles.Cognitive memory,which stores all the previous routes,is used by the vehicles to choose the optimal route.In networks,communication is crucial.In cellular-based vehicle-to-everything(CV2X)communication,vital information is shared using the cooperative awareness message(CAM)that is broadcast by each vehicle.Resources are allocated in a distributed manner,which is known as Mode 4 communication.The support vector machine(SVM)algorithm is used in the SVM-CV2X-M4 system proposed in this study.The k-fold model with different values of k is used to evaluate the accuracy of the SVM-CV2XM4 system.The results show that the proposed system achieves an accuracy of 99.6%.Thus,the proposed system allows vehicles to choose the optimal route and is highly convenient for users. 展开更多
关键词 Mode-4 communication ad-hoc vehicular network cv2x support vector machine
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电子书刊阅览利器CV2.X
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作者 梅子 《计算机应用文摘》 1999年第1期95-96,共2页
关键词 电子书刊阅读器 汉字系统 CV2.X 应用程序
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