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VANET Routing Protocols: Pros and Cons (1204.1201v1)

Published 5 Apr 2012 in cs.NI

Abstract: VANET (Vehicular Ad-hoc Network) is a new technology which has taken enormous attention in the recent years. Due to rapid topology changing and frequent disconnection makes it difficult to design an efficient routing protocol for routing data among vehicles, called V2V or vehicle to vehicle communication and vehicle to road side infrastructure, called V2I. The existing routing protocols for VANET are not efficient to meet every traffic scenarios. Thus design of an efficient routing protocol has taken significant attention. So, it is very necessary to identify the pros and cons of routing protocols which can be used for further improvement or development of any new routing protocol. This paper presents the pros and cons of VANET routing protocols for inter vehicle communication.

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Authors (3)
  1. Bijan Paul (5 papers)
  2. Md. Ibrahim (13 papers)
  3. Md. Abu Naser Bikas (6 papers)
Citations (238)

Summary

  • The paper provides a systematic evaluation of VANET routing protocols by categorizing them into topology-based and position-based methods for effective V2V and V2I communications.
  • It details the benefits and challenges of proactive versus reactive routing approaches, examining metrics such as delivery ratio, latency, and control overhead.
  • It emphasizes the need for holistic performance assessments and proposes future innovations using machine learning and cross-layer design to enhance routing resilience.

An Analytical Overview of VANET Routing Protocols

The paper "VANET Routing Protocols: Pros and Cons" presents a comprehensive analysis of various routing protocols employed in Vehicular Ad-hoc Networks (VANETs). These networks facilitate vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, thereby playing a critical role in advancing intelligent transportation systems. Given the dynamic nature and frequent topology changes inherent in VANETs, developing efficient routing protocols is vexing yet indispensable. This review systematically categorizes and evaluates the routing protocols into topology-based and position-based protocols, elucidating their respective strengths and weaknesses.

VANET Characteristics

The authors highlight several distinguishing features of VANETs which compound the complexity of routing protocols. These include high dynamic topology due to rapid vehicular movement, frequent network disconnections, and the variability of communication environments. Despite these challenges, modern vehicles possess substantial battery power and onboard storage, facilitating more sophisticated routing algorithms than in traditional Mobile Ad-hoc Networks (MANETs).

Topology-based Routing Protocols

Topology-based routing protocols are divided into proactive (table-driven) and reactive (on-demand) categories. Proactive protocols, such as Fisheye State Routing (FSR), offer reduced latency and bandwidth consumption but at the cost of efficiency and scalability in small networks. Conversely, reactive protocols like Ad Hoc On Demand Distance Vector (AODV) routing reduce memory requirements and route redundancy but suffer from high latency during route discovery and significant control overhead due to network flooding.

Position-based Routing Protocols

Position-based protocols rely on geographical coordinates obtained through devices like GPS to make routing decisions. The noteworthy advantages of this technique include scalability and suitability for environments with high node mobility. However, geographical routing mandates position-determining services, complicating operations in environments like tunnels where satellite signals are unavailable.

The paper further distinguishes between Delay Tolerant Network (DTN) approaches, which adopt a store-carry-forward strategy to cope with frequent disconnections, and beaconing methods which enable nodes to periodically ascertain and update positional data.

Evaluation of Protocols and Future Directions

The authors engage an array of specific protocols under each category, such as GPSR, VADD, and GyTAR, evaluating them through metrics like packet delivery ratio, scalability, and control overhead. For example, Vehicle-Assisted Data Delivery (VADD) excels in delivery ratio yet faces challenges with delay due to fluctuating topology and traffic density. Meanwhile, Greedy Perimeter Coordinator Routing (GPCR), while robust in city scenarios, reveals drawbacks in junction node reliance.

In conclusion, the paper emphasizes the necessity for continued performance evaluation and development of VANET routing protocols. It identifies gaps in existing comparisons, suggesting a more holistic evaluation approach integrating diverse traffic scenarios and network densities. As vehicular networks advance, the insights offered promise substantial contributions to the evolution of context-aware and adaptive routing solutions. Potential innovations could entail leveraging machine learning to predict traffic patterns and integrating cross-layer design principles to further augment the resilience and efficiency of VANET communications.