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February 2, 20266 citationsOpen Access

A Comprehensive Survey on VANET–IoT Integration Toward the Internet of Vehicles: Architectures, Communications, and System Challenges

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KKKhalid KandaliSNSaid NouhLBLamyae Bennis

Key Points

  • The research aims to examine how VANETs and IoT can integrate to form the Internet of Vehicles and identify key challenges.
  • Conducted a comprehensive literature survey
  • Analyzed various architectural and communication frameworks
  • Examined major V2X and IoT communication technologies
  • Identified central challenges in system design
  • Outlined key challenges: security, scalability, interoperability, energy constraints
  • Discussed interactions between sensing, communication, and intelligence for applications
  • Highlighted emerging directions like 6G communication and digital twins

Abstract

The convergence of Vehicular Ad Hoc Networks (VANETs) and the Internet of Things (IoT) is giving rise to the Internet of Vehicles (IoV), a key enabler of next-generation intelligent transportation systems. This survey provides a comprehensive analysis of the architectural, communication, and computing foundations that support VANET–IoT integration. We examine the roles of cloud, edge, and in-vehicle computing, and compare major V2X and IoT communication technologies, including DSRC, C-V2X, MQTT, and CoAP. The survey highlights how sensing, communication, and distributed intelligence interact to support applications such as collision avoidance, cooperative perception, and smart traffic management. We identify four central challenges—security, scalability, interoperability, and energy constraints—and discuss how these issues shape system design across the network stack. In addition, we review emerging directions including 6G-enabled joint communication and sensing, reconfigurable surfaces, digital twins, and quantum-assisted optimization. The survey concludes by outlining open research questions and providing guidance for the development of reliable, efficient, and secure VANET–IoT systems capable of supporting future transportation networks.

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Cite This Study

Kandali et al. (2026) studied this question.

synapsesocial.com/papers/69810013c1c9540dea8131c9https://doi.org/10.3390/futuretransp6010032
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