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An Efficient Greedy Traffic Aware Routing Scheme for Internet of Vehicles

Belghachi Mohammed1,*, Debab Naouel1
Faculty of Science Exact, Computer Science Department, University of Bechar, Algeria.
* Corresponding Author: Belghachi Mohammed. Email: .

Computers, Materials & Continua 2019, 60(3), 959-972. https://doi.org/10.32604/cmc.2019.07580

Abstract

A new paradigm of VANET has emerged in recent years: Internet of Vehicles (IoV). These networks are formed on the roads and streets between travellers who have relationships, interactions and common social interests. Users of these networks exchange information of common interest, for example, traffic jams and dangers on the way. They can also exchange files such as multimedia files. IoV is considered as part of the Internet of Things (IoT) where objects are vehicles, which can create a multitude of services dedicated to the intelligent transportation system. The interest is to permit to all connected vehicles to communicate with each other and/or with a central server, through other vehicles. Vehicle to Vehicle (V2V) communication is the main component, because the services encompassed in the IoV are based on the vehicles in question, such as transmitter, relay and receiver. This work is focusing on designing and developing a Quality of Service (QoS) routing scheme dedicated to IoV networks. Especially, we aim to improve the Greedy Traffic Aware Routing (GyTAR) protocol to support QoS in IoV networks. To evaluate the proposed approach in terms of QoS in the context of IoV networks, the performance metrics such as average end-to-end delay and packet delivery ratio are taken into consideration to analyse the network situation.

Keywords

IoT, IoV, GyTAR, QoS, vehicular traffic density, delay, PDR.

Cite This Article

B. Mohammed and D. Naouel, "An efficient greedy traffic aware routing scheme for internet of vehicles," Computers, Materials & Continua, vol. 60, no.3, pp. 959–972, 2019.

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This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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