2019
DOI: 10.1109/access.2019.2929273
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A Vehicle Mobile Internet of Things Coverage Enhancement Algorithm Based on Communication Duration Probability Analysis

Abstract: Vehicle mobile Internet of Things uses sensor technology, mobile Internet technology, and intelligent computing technology to effectively monitor and provide comprehensive services for vehicle operation status. It is an important part of building a smart city, making urban transportation more efficient, environmentally friendly, intelligent, and safety. In the vehicle mobile Internet of Things, when in-vehicle sensors are in communication with each other, they are often affected by factors, such as network mob… Show more

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Cited by 7 publications
(2 citation statements)
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“…However, driverless technology is highly dependent on the Internet, so it is necessary to receive the early warning information of the road ahead in real time through the Internet, so that unmanned vehicles can conduct intelligent analysis in advance, make corresponding route change plans or adjust the driving speed in time, so as to avoid the road risk ahead. Once the 3G/4G/5G signals around the road are poor due to environmental constraints, the unmanned vehicle cannot receive the relevant early warning signals of the road ahead in time, which will affect the road early warning analysis of the unmanned vehicle [ 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, driverless technology is highly dependent on the Internet, so it is necessary to receive the early warning information of the road ahead in real time through the Internet, so that unmanned vehicles can conduct intelligent analysis in advance, make corresponding route change plans or adjust the driving speed in time, so as to avoid the road risk ahead. Once the 3G/4G/5G signals around the road are poor due to environmental constraints, the unmanned vehicle cannot receive the relevant early warning signals of the road ahead in time, which will affect the road early warning analysis of the unmanned vehicle [ 5 , 6 ].…”
Section: Introductionmentioning
confidence: 99%
“…According to the sensing range of onboard sensors, the distance of end-to-end vehicle nodes, vehicle speed, vehicle speed variation range, task packet size, and network transmission rate, this paper proposes a time prediction model, which is used for the current vehicle. The node predicts a batch of candidate next hop nodes [28,29]. The candidate nodes selected by the time prediction model meet certain conditions, that is, when the current vehicle node selects these candidate nodes as the relay point of the next hop, the probability of link interruption is small [30,31].…”
Section: Time Prediction Model For Vehicular Ad Hoc Networkmentioning
confidence: 99%