Open Access

ARTICLE

Interference-Aware Transmission Scheduling for Internet of Vehicles

Mohammad Zubair Khan^1,*, Muhammad Awais Javed², Hamza Ghandorh¹, Omar H. Alhazmi¹, Khalid S. Aloufi³

1 Department of Computer Science, Taibah University, Medina, 42353, Saudi Arabia
2 Department of Electrical and Computer Engineering, COMSATS University Islamabad, 45550, Pakistan
3 Department of Computer Engineering, College of Computer Science and Engineering, Taibah University, Medina, 42353, Saudi Arabia

* Corresponding Author: Mohammad Zubair Khan. Email:

Intelligent Automation & Soft Computing 2022, 33(1), 305-315. https://doi.org/10.32604/iasc.2022.024091

Received 03 October 2021; Accepted 13 November 2021; Issue published 05 January 2022

Abstract

Next-generation Intelligent Transportation Systems (ITS) use wirelessly connected vehicles for safety and non-safety applications such as autonomous driving, cooperative awareness, route guidance and multimedia transmissions. This network known as the Internet of Vehicles (IoVs) suffers from many challenges such as collisions due to hidden terminals, and interference from simultaneously transmitting vehicles. Moreover, the packet reception ratio of transmissions between vehicles is significantly reduced at high vehicle densities and severe fading scenarios. As safety applications require periodic broadcast of safety messages from each vehicle to all other vehicles in the neighborhood, the development of an efficient medium access technique is a key challenge. In this paper, we propose an interference-aware medium access protocol for vehicular networks that allocate time slots to the vehicles such that interference due to hidden nodes is minimized. We first provide an analytical model to compute the interference range of a vehicle in the presence of simultaneously transmitting vehicles. We also propose a scheduling algorithm that uses vehicle GPS positions and reuse the same time slot only at a distance greater than the interference range. Simulation results show that the proposed technique improves the packet reception ratio by 70% as compared to the standard IEEE 802.11p based CSMA/CA protocol.

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Keywords

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