Service-centric heterogeneous vehicular network modeling for connected traffic environments

Khasawneh, AM, Abu Helou, M, Khatri, A, Aggarwal, G ORCID: https://orcid.org/0000-0002-8338-2504, Kaiwartya, O ORCID: https://orcid.org/0000-0001-9669-8244, Altalhi, M, Abu-ulbeh, W and AlShboul, R, 2022. Service-centric heterogeneous vehicular network modeling for connected traffic environments. Sensors, 22 (3): 1247.

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Abstract

Heterogeneous vehicular communication on the Internet of connected vehicle (IoV) environment is an emerging research theme toward achieving smart transportation. It is an evolution of the existing vehicular ad hoc network architecture due to the increasingly heterogeneous nature of the various existing networks in road traffic environments that need to be integrated. The existing literature on vehicular communication is lacking in the area of network optimization for heterogeneous network environments. In this context, this paper proposes a heterogeneous network model for IoV and service-oriented network optimization. The network model focuses on three key networking entities: vehicular cloud, heterogeneous communication, and smart use cases as clients. Most traffic-related data–oriented computations are performed at cloud servers for making intelligent decisions. The connection component enables handoff-centric network communication in heterogeneous vehicular environments. The use-case-oriented smart traffic services are implemented as clients for the network model. The model is tested for various service-oriented metrics in heterogeneous vehicular communication environments with the aim of affirming several service benefits. Future challenges and issues in heterogeneous IoV environments are also highlighted.

Item Type:	Journal article
Publication Title:	Sensors
Creators:	Khasawneh, A.M., Abu Helou, M., Khatri, A., Aggarwal, G., Kaiwartya, O., Altalhi, M., Abu-ulbeh, W. and AlShboul, R.
Publisher:	MDPI AG
Date:	2022
Volume:	22
Number:	3
Identifiers:	Number Type 10.3390/s22031247 DOI 1516625 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	08 Feb 2022 09:49
Last Modified:	08 Feb 2022 09:51
URI:	https://irep.ntu.ac.uk/id/eprint/45544

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