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Vehicular Communications: A Network Layer Perspective

Published 31 Jul 2017 in cs.CY | (1707.09972v1)

Abstract: Vehicular communications, referring to information exchange among vehicles, pedestrians, and infrastructures, have become very popular and been widely studied recently due to its great potential to support intelligent transportation and various safety applications. Via vehicular communications, manually driving vehicles and autonomous vehicles can collect useful information to improve traffic safety and support infotainment services. In this paper, we provide a comprehensive overview of recent research on enabling efficient vehicular communications from the network layer perspective. First, we introduce general applications and unique characteristics of vehicular networks and the corresponding classifications. Based on different driving patterns of vehicles, we divide vehicular networks into two categories, i.e., manually driving vehicular networks and automated driving vehicular networks, and then discuss the available communication techniques, network structures, routing protocols, and handoff strategies applied in these vehicular networks. Finally, we identify the challenges confronted by the current vehicular communications and present the corresponding research opportunities.

Citations (226)

Summary

  • The paper surveys network layer protocols, technologies, and challenges in manually driven and automated vehicular networks, emphasizing requirements for traffic safety and infotainment.
  • It examines various communication technologies like DSRC, cellular, Wi-Fi, and White-Fi, advocating for hybrid network architectures and exploring routing protocols and handoff strategies.
  • The survey identifies challenges such as heterogeneous driving environments, spectrum scarcity, and the need for secure, low-latency protocols for cooperative autonomous driving.

Insightful Overview of "Vehicular Communications: A Network Layer Perspective"

The paper "Vehicular Communications: A Network Layer Perspective" explores the intricacies of vehicular networks from the standpoint of network layer protocols. This comprehensive survey addresses the spectrum of manually driven and autonomous vehicular networks, emphasizing the importance of vehicular communications in enhancing traffic safety and providing infotainment services.

Overview of Vehicular Networks

Vehicular networks are bifurcated into manually driving vehicular networks (MDVNETs) and automated driving vehicular networks (ADVNETs), contingent on their driving patterns. The authors delineate a taxonomy of vehicular networks and emphasize the unique characteristics and applications specific to each type. They underline the substantial role vehicular communications play in intelligent transportation systems, emphasizing the pivotal requirements of reliability and low latency, particularly for safety applications.

Communication Technologies

The paper critically examines various communication technologies applicable to MDVNETs, namely dedicated short-range communications (DSRC), cellular, Wi-Fi, and White-Fi, each with its specific advantages and drawbacks. DSRC is highlighted for its reliability in adverse conditions and its designated bandwidth for vehicular applications, although it suffers from connectivity issues and broadcast storms in dense traffic. Cellular networks offer long-range connectivity but are constrained by cost and capacity challenges during peak usage. Wi-Fi, while cost-effective, faces intermittent connectivity issues, while White-Fi, though offering greater range, potentially interferes with incumbent services.

The authors advocate for a hybrid approach where these technologies are integrated, forming heterogeneous vehicular networks that circumvent the limitations of individual technologies.

Protocols and Strategies

A diverse set of routing protocols is discussed, categorized into unicast, multicast, and broadcast methods, with a specific spotlight on cluster-based protocols. These protocols are vital in addressing the high mobility and variable density of vehicular networks. The paper explores handoff strategies, crucial for ensuring seamless connectivity in the vehicular networks, distinguishing between horizontal and vertical handoffs. It emphasizes the importance of developing sophisticated vertical handoff strategies in heterogeneous networks to meet user and network-centric demands.

Automated Vehicular Networks

For ADVNETs, the paper describes various traffic management approaches such as free, convoy-based, and platoon-based driving strategies. These strategies necessitate specific intra- and inter-vehicular communication protocols to sustain platoon stability and effective information dissemination. Technologies like infrared and visible light communication (VLC) are explored as potential solutions for short-range, high-capacity communications within platoons.

Challenges and Future Directions

The paper concludes by identifying unresolved issues within the field of vehicular communications. The coexistence of AVs and manually driven vehicles presents substantial challenges in heterogeneous driving vehicular networks (HDVNETs). It highlights the imperative for secure, low-latency communication protocols to enable cooperative driving without human intervention. Addressing spectrum scarcity through technologies like millimeter-wave and VLC, while mitigating mobility-related constraints, is another outlined opportunity for future research.

Implications and Speculations

The implications of this research are multifaceted, impacting both practical applications in traffic management and theoretical advancements in vehicular network protocols. The exploration of hybrid network architectures could significantly enhance vehicular communication efficiency and reliability, a necessity for the future integration of AVs on roads. The progression in secure, cooperative communication protocols will be seminal for advancing autonomous driving towards full autonomy.

As the vehicular environment evolves, ongoing research will need to adapt to new technologies and varying vehicle densities, further enhancing vehicular network efficiency and robustness. This paper lays a foundational understanding and catalyzes future explorations into optimizing vehicular communications at the network layer.

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