Ghazi, Muhammad Uzair and Khattak, Muazzam A. Khan and Shabir, Balawal and Malik, Asad W. and Ramzan, Muhammad Sher (2020) Emergency message dissemination in vehicular networks: A review. IEEE Access, 8. pp. 38606-38621. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2020.2975110.
Full text not available from this repository.Abstract
The number of vehicles on the roads has increased proportionally over the last couple of years and this number is likely to rise due to the increase in population growth and the number of vehicles that are manufacturing every day. This high traffic density leads to several problems, from which effectively disseminating the emergency messages is a major concern. Keeping in view the dynamic characteristics of VANETs, significant challenges are faced in disseminating the message across the network. The major challenges are the broadcast storm problem, hidden node problem and the packet collision. Many studies have been performed to devise an effective and reliable mechanism for disseminating emergency messages in a Vehicular ad-Hoc Network (VANET). Researchers have proposed different models to tackle various types of scenarios for emergency message dissemination. This paper not only reviews some recent contributions to emergency message dissemination in vehicular networks but also discusses various proposed methods based on Intelligent Transportation System (ITS), Internet of Things (IoT), Priority messaging, Clustering approach, Software Defined Network (SDN) and Fog Computing. We have also tried to explore the latest developments in emergency message dissemination using 5G networks.
| Item Type: | Article |
|---|---|
| Funders: | Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah (D-611-474-D1441) |
| Uncontrolled Keywords: | Vehicular ad hoc networks; Safety; Broadcasting; Vehicles; Vehicle dynamics; Protocols; 5G; broadcast; clustering; emergency message dissemination; VANET; fog; IoT; ITL; priority; SDN |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 15 Jun 2023 01:39 |
| Last Modified: | 15 Jun 2023 01:39 |
| URI: | http://eprints.um.edu.my/id/eprint/37016 |
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