Future Trends in Connected and Autonomous Vehicles: Enabling Communications and Processing Technologies

Damaj, Issam; Yousafzai, Jibran; Mouftah, Hussein T.

doi:10.1109/access.2022.3168320

Cited by 29 publications

(14 citation statements)

References 29 publications

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“…Connected Autonomous Vehicles (CAVs) can now support dependable, safe, and highquality transportation system solutions with improved performance and increased effectiveness thanks to a number of technologies, including vehicular networks, communication interfaces, and current hardware devices. In (Damaj et al, 2022) study, the author has extensively examine a number of outstanding stateof-the-art CAV systems with an emphasis on the hardware architectures of the On-board Computational Unit (OBCU), communication technologies, deployment issues, and performance characteristics.…”

Section: Sensor-based Vehicles Systemmentioning

confidence: 99%

Trends and Open Research Issues in Intelligent Internet of Vehicles

Kamble

Kounte

2023

Transport and Telecommunication Journal

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The evolution of vehicles has always been continuous with respect to growth in technology.The concept of the Internet of Vehicles (IoV) is the process of allowing vehicles to interact with each other to provide real-time information. This paper introduces the various aspects of IoV and their components. Despite the fact that there are more and more vehicles connected to the IoV, there are still many unknown issues and potentials that needs to be identified to carry out research. In order to identify and classify the current difficulties in implementing and using IoV in urban cities, various research publications on the topic were analysed in this paper. The limitations of the Internet of Vehicular technology are also described. Additionally, a number of current and potential remedies that address the highlighted problems were briefly covered. The background information and reasons for evolving heterogeneous vehicular networks are thoroughly reviewed in this research. Also highlights the key technologies of IoV, network architecture and comparison of IoV architecture models with focus on different communication models The most modern IoV enabling technologies are also highlighted, along with environmental scope of intelligent internet of vehicles. Finally, the paper has reviewed the open research issues of Intelligent IoV such as Poor Connectivity of on road vehicles and Stability, Hard delay constraints, High reliability requirements, high scalability, Security and privacy, etc. and related solutions.

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Section: Sensor-based Vehicles Systemmentioning

confidence: 99%

Trends and Open Research Issues in Intelligent Internet of Vehicles

Kamble

Kounte

2023

Transport and Telecommunication Journal

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“…Consequently, Vehicle-to-vehicle (V2V) communication has emerged as a focal area of research, attracting considerable interest from both the academic sphere and the automotive industry. The facilitation of communication among vehicles plays a pivotal role in augmenting traffic safety and efficiency, enhancing driver assistance systems, and expediting the response to emergencies [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…This capacity enables drivers to swiftly detect and respond to potential threats on the road. Key applications of V2V communication technology encompass a broad spectrum, including collision warning systems, enhanced traffic signal prioritization, navigational aids for route adjustments, alerts for obscured hazards, roadside assistance services, and coordination for vehicle platoons [6,[9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Performance Analysis of mmWave and WiFi-Based Vehicle Communications

Rjab,

Omri,

Bouallegue

et al. 2024

Electronics

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Vehicle -to-vehicle (V2V) communications are crucial for enhancing road network safety and efficiency. With the increasing demand for bandwidth in V2V services, exploring innovative solutions has become imperative. This study explores a comparative analysis of mmWave and WiFi transmission technologies, with a specific focus on line-of-sight (LoS) and non-line-of-sight (NLoS) scenarios in both 2D and 3D modeling environments. The use of stochastic geometry tools allows a realistic modeling of the random positioning of vehicles within the V2V system framework, resulting in accurate expressions for the successful transmission probability (STP) and average throughput (AT) for both communication systems. To validate our analytical findings, Monte Carlo simulations have been employed, offering a comprehensive evaluation of mmWave and WiFi performance. Simulation results highlight that mmWave systems outperform in scenarios with short transmission distances and low vehicle density while WiFi systems demonstrate greater efficiency for longer transmission distances.

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“…While V2I communication allows vehicles to communicate with roadside units (RSUs) within the infrastructure to coordinate and exchange data. Under certain circumstances, V2V/V2I network is formed and allow a vehicle to connect with the roadside infrastructures with a single or multi-hop arrangement [6,7].…”

Section: Introductionmentioning

confidence: 99%

Effect of Waiting Time and Number of Slots on Vehicular Networking Employing Slotted ALOHA Protocol

2024

IJIES

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This work investigates through simulation effect of waiting time and number of slots on the effectiveness of using Slotted ALOHA in vehicular connectivity as a random access technique. The objective is to reach optimum level of throughput under the vehicular dynamic environment. The presented work proposes to concentrate on waiting time as a controlling parameter that can be used in an adaptive manner to enable throughput optimization in response to changing vehicular density. The work proved through MATLAB simulation the importance of waiting time parameter in controlling number of delivered frames and throughput. The results show that based on the exponential relationship between throughput and data traffic, there is a logarithmic relationship between data traffic and waiting time, which complements another logarithmic relationship between throughput and waiting time. The simulation also shows that there is an inverse relationship between throughput and data traffic as a function of set waiting time. The simulation shows that there is an exponential relationship between waiting time and maximum number of delivered frames. The work shows that a linear region of operating Slotted ALOHA can be specified, such that an optimum and dynamically adjusted waiting time is set with overall effect on number of slots and throughput. The dynamic shape function of the curve correlating waiting time to available number of slots is mathematically modelled and differentially controlled, thus an optimizing and controlling algorithm is produced, which improves significantly the conventional ALOHA performance and has an advantage over other used ALOHA derivatives, in that it concentrates on available slots and waiting time, which greatly contributes towards reduction in collisions and improving of throughput.

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Future Trends in Connected and Autonomous Vehicles: Enabling Communications and Processing Technologies

Cited by 29 publications

References 29 publications

Trends and Open Research Issues in Intelligent Internet of Vehicles

Trends and Open Research Issues in Intelligent Internet of Vehicles

Modeling and Performance Analysis of mmWave and WiFi-Based Vehicle Communications

Effect of Waiting Time and Number of Slots on Vehicular Networking Employing Slotted ALOHA Protocol

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