- Title
- Fog-assisted congestion avoidance scheme for internet of vehicles
- Creator
- Yaqoob, Shumayla; Ullah, Ata; Akbar, Muhammad; Imran, Muhammad; Guizani, Mohsen
- Date
- 2018
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/182714
- Identifier
- vital:16193
- Identifier
-
https://doi.org/10.1109/IWCMC.2018.8450402
- Identifier
- ISBN:9781538620700 (ISBN)
- Abstract
- Recently, Internet of Vehicles (IoVs) is getting growing interest because of their suitability for a wide range of emerging applications. Most of these applications require vehicles to continuously update their information to a centralized location in order to gain various services. However, frequent transmission of messages by an abundance number of vehicles may not only overwhelm a centralized server but also causes a huge congestion which might disrupt various services including emergency situations. The aim of this research is to minimize congestion and messaging delay. This paper presents a fog-assisted congestion avoidance scheme for IoV named Energy Efficient Message Dissemination (E2MD). To capitalize the merits of fog computing and minimize latency, E2MD opts a distributed approach by employing a fog server to complement services in IoVs. In E2MD, vehicles continuously update their status to a fog server either directly or through intermediate nodes. The performance of the proposed scheme is validated through NS 2.35 simulations. Simulation results confirm the performance supremacy of E2MD compared to contemporary schemes in terms of end-to-end delay and messaging cost. © 2018 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 p. 618-622
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ 2018 IEEE
- Subject
- Congestion avoidance; Fog Computing; Internet of Vehicles; Latency
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