Connected cars in cellular network

Andrade, Carlos Eduardo de; Byers, Simon; Gopalakrishnan, V.; Halepovic, Emir; Poole, David J.; Tran, Lien K.; Volinsky, Christopher T.

doi:10.1145/3131365.3131403

Cited by 30 publications

(22 citation statements)

References 5 publications

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“…normal vehicles conducting periodic network performance measurements and by sending them to a cloud service. The cloud service can be advanced with data, following the predictability of connected cars [7]. Using this cloud-service, teleoperated vehicles may plan and update their route based on the incoming data.…”

Section: E Whitelisting As Possible Mitigationmentioning

confidence: 99%

Measuring the Feasibility of Teleoperated Driving in Mobile Networks

Neumeier

Walelgne

Bajpai

et al. 2019

2019 Network Traffic Measurement and Analysis Conference (TMA)

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Teleoperated Driving is the remote control driving of a vehicle by a human driver. The concept of Teleoperated Driving requires the use of mobile networks, which typically experience variable throughput, variable latency and uneven network coverage. To investigate whether Teleoperated Driving can be possible with contemporary mobile networks, we have conducted measurements while driving with vehicles in the real world. We used complementary measurement setups to obtain results that can be compared. The dataset consists of about 5200 km (4660 minutes) driving measurements. Results show that Teleoperated Driving could be possible, but the high variance of network parameters makes it difficult to use the system at all times. It appears that the speed of the vehicle and the distance to the base station may not influence Teleoperated Driving, while handover with changed radio technology, signal strength and distance to the teleoperation station may have an impact. Possible mitigations to overcome these problems along with a basic whitelisting approach is discussed.

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Section: E Whitelisting As Possible Mitigationmentioning

confidence: 99%

Measuring the Feasibility of Teleoperated Driving in Mobile Networks

Neumeier

Walelgne

Bajpai

et al. 2019

2019 Network Traffic Measurement and Analysis Conference (TMA)

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“…5G-WAT applying in vehicular environments is going to lead the IoV to improve the road safety applications and is going to reduce the fatalities number that is caused by road accidents, through the development of the information sharing between moving vehicles regarding in the road. That's why safety applications are already attracting more consideration since the drivers' behavior monitoring is being used to alert the drivers about abnormal driving behaviors of other drivers on the road [48], [49].…”

Section: From Vanet To Iov Applicationsmentioning

confidence: 99%

A Survey of 5G Technology Evolution, Standards, and Infrastructure Associated With Vehicle-to-Everything Communications by Internet of Vehicles

2020

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The very last wireless network technology, created to increase the speed and the connections responsiveness, the Fifth-Generation Network (5G) can transmit a great volume of data. It uses wireless broadband connections to support specific end-users and businesses services. It is specifically useful for the Internet of Vehicles (IoV), guaranteeing fast connections and security. The 5G network technology can be used to support Vehicle-to-Everything (V2X) communications and applications on autonomous vehicles. It can enable information exchanges between vehicles and other infrastructures and people. It can also provide a more comfortable and safer environment and accurate traffic knowledge. The traffic flow can be improved, reducing pollution and accident rates. The cellular network can be associated with V2X as a communicating base to offer enhanced road safety and autonomous driving, and also to offer the IoV connections. This survey presents the 5G technology evolution, standards, and infrastructure associated with V2X ecosystem by IoV. In other words, it presents the IoV supported by 5G V2X communications, considering its architecture, applications and also the V2X features and protocols, as well as the modes, the evaluation and the technological support in such combination. The contribution of this paper is a systematized study about the interaction among these three contents: IoV, 5G, and V2X. Eighty four works were selected to present concepts, standards and to identify the ways to overcome challenges. This survey aims to guide the development of new 5G-V2X services and technologies dedicated to vehicle communications, and also to indicate future directions. INDEX TERMS IoV, connected vehicles, 5G networks, V2X communications.

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“…In addition to basic mobility, we can analyze the distribution of devices and traffic over all the cells IoT devices visited. Figure 6 illustrates the ECDF of IoT traffic and devices 6 across IoT-visited cells in August 2018. The traffic is highly concentrated spatially, with 10% of cells carrying about 93% of total IoT traffic.…”

Section: Traffic and Device Distribution Over Cellsmentioning

confidence: 99%

“…The definition of visit only includes cells where traffic was sent or received and thus is a lower bound on the number of cells attached to by the device 6. We note that devices are counted once in each visited cell.…”

mentioning

confidence: 99%

Cellular IoT Traffic Characterization and Evolution

Finley¹,

Vesselkov²

2019

2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

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The adoption of Internet of Things (IoT) technologies is increasing and thus IoT is seemingly shifting from hype to reality. However, the actual use of IoT over significant timescales has not been empirically analyzed. In other words the reality remains unexplored. Furthermore, despite the variety of IoT verticals, the use of IoT across vertical industries has not been compared. This paper uses a two-year IoT dataset from a major Finnish mobile network operator to investigate different aspects of cellular IoT traffic including temporal evolution and the use of IoT devices across industries. We present a variety of novel findings. For example, our results show that IoT traffic volume per device increased three-fold over the last two years. Additionally, we illustrate diversity in IoT usage among different industries with orders of magnitude differences in traffic volume and device mobility. Though we also note that the daily traffic patterns of all devices can be clustered into only three patterns, differing mainly in the presence and timing of a peak hour. Finally, we illustrate that the share of LTE-enabled IoT devices has remained low at around 2% and 30% of IoT devices are still 2G only.

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Connected cars in cellular network

Cited by 30 publications

References 5 publications

Measuring the Feasibility of Teleoperated Driving in Mobile Networks

Measuring the Feasibility of Teleoperated Driving in Mobile Networks

A Survey of 5G Technology Evolution, Standards, and Infrastructure Associated With Vehicle-to-Everything Communications by Internet of Vehicles

Cellular IoT Traffic Characterization and Evolution

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