Journal
VEHICULAR COMMUNICATIONS
Volume 30, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.vehcom.2021.100353
Keywords
Vehicular networking; Named data networking; Vehicular named data network; Data dissemination scheme; Forwarding strategy; VNDN
Funding
- National University of Malaysia [DIP-2018-041]
- Deanship of Scientific Research at Princess Nourah Bint Abdulrahman Universitythrough the Fast-track Research Funding Program
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VANETs, as a leading technology in intelligent transportation systems for data dissemination, face challenges in high dynamics, prompting the introduction of the promising V-NDN model. The comprehensive survey in this article introduces V-NDN data dissemination solutions, a new taxonomy, qualitative comparison, and unified performance evaluation metrics, aiming to address open problems and guide future-oriented solutions.
Vehicular Ad hoc NETworks (VANETs) have become a leading technology receiving great attention from various research communities as a pivotal infrastructure for data dissemination in intelligent transportation systems. Data dissemination in VANET is a challenging task due to high dynamics in topology, mobility, and links connection. Internet model (i.e., TCP/IP) is inefficient for VANET data dissemination due to the host/address-centric, and connection-oriented communication mechanism that is fundamentally designed for stable wired networks. Recently, Named Data Networking (NDN) paradigm has been used as a promising perfect-enabler underlying vehicular communication model, i.e., Vehicular Named Data Networking (V-NDN) model. In NDN, the nodes communication involves named-based datacentric operations decoupled from the data provider address/location. Several V-NDN data dissemination schemes have been proposed. In this article, we provide a comprehensive survey representing a thorough-critical presentation of recently proposed V-NDN data dissemination solutions and introduce a new fine-grained taxonomy for these solutions. Then, a qualitative comparison of the reviewed solutions based on several parameters is provided. We also suggest a unified performance evaluation metrics in this domain. Finally, we present the open problems in V-NDN data dissemination and highlight the directions of future-oriented solutions. This comprehensive and self-contained survey can contribute to the exploration and understanding of this research domain. Consequently, the future solutions in the aspects of unresolved problems and inefficient resolutions may be directed towards new solving methods. (C) 2021 Elsevier Inc. All rights reserved.
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