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Internet of Vehicles and Intelligent Routing: A Survey-Based Study

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The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) (AMLTA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 113))

Abstract

Nowadays, vehicles are used daily by more and more people. With the rapid development in Intelligent Transportation Systems (ITS), modern vehicles are expected to be involved such as Vehicular Ad hoc NETworks (VANETs). VANETs is a type of Mobile Ad hoc NETwork (MANET) with a highly dynamic network structure; for dealing with the fast mobility of vehicles. However, the expansion of the network scale and the need for real-time information processing have led to turning real VANETs into an automotive Internet of Vehicle (IoV) for achieving an effective and smart future ITS. The main objective of this paper is to introduce a solid analysis of the most significant IoV routing proposals. A summary of features of existing approaches is presented. This survey concludes with further points for investigation.

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Authors and Affiliations

  1. Electrical Engineering Department, Port Said University, Port Fuad, Egypt

    Abeer Hassan, Radwa Attia & Rawya Rizk

Authors
  1. Abeer Hassan
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  2. Radwa Attia
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  3. Rawya Rizk
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Corresponding author

Correspondence to Abeer Hassan .

Editor information

Editors and Affiliations

  1. Faculty of Computer and AI, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Port Said University, Port Fouad, Egypt

    Rawya Y. Rizk

  3. Department of Computer Science, VÅ B-TUO, Ostrava-Poruba, Czech Republic

    Václav Snášel

  4. Faculty of Engineering, Port Said University, Port Fouad, Egypt

    Rehab F. Abdel-Kader

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Hassan, A., Attia, R., Rizk, R. (2022). Internet of Vehicles and Intelligent Routing: A Survey-Based Study. In: Hassanien, A.E., Rizk, R.Y., Snášel, V., Abdel-Kader, R.F. (eds) The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022). AMLTA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 113. Springer, Cham. https://doi.org/10.1007/978-3-031-03918-8_43

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