计算机科学
传输(电信)
冗余(工程)
数据传输
模糊逻辑
智能交通系统
钥匙(锁)
布线(电子设计自动化)
计算机网络
数据收集
实时计算
数据冗余
数据挖掘
人工智能
电信
计算机安全
统计
土木工程
工程类
操作系统
数学
作者
Ting Zhang,Degan Zhang,Ping Zhang,Jie Zhang,Shuhua Tian
摘要
Summary The Internet of Vehicles (IoV) is a hot research topic in intelligent transportation, and the research on new methods of intelligent data transmission is one of the key contents. Aiming at the application scenario of urban air quality monitoring data collection and transmission based on IoV, a new reliable data transmission method (Vehicular Grouping‐Communicated Data [VGCD]) based on crowd sensing strategy is proposed. This method is designed to utilize the intelligent perception and collaborative monitoring of vehicle to collect data, avoiding redundancy and overload of information; a reliable data transmission minimum delay hybrid routing method is proposed in the data transmission part, which combines encoding mechanism with routing design, integrates routing switching ideas, predicts vehicle adaptive connectivity based on fuzzy logic, and makes probability based routing decisions to minimize delay, achieving reliable and efficient data collection and transmission. The proposed new method has important theoretical significance and practical value for various applications such as dynamic remote perception monitoring based on the IoV in intelligent transportation.
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