Interference-Aware Transmission Scheduling for Internet of Vehicles

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.

A Review of Artificial Intelligence and Machine Learning for Incident Detectors in Road Transport Systems

“…The internet of vehicles (IoVs) network has numerous difficulties, including collisions caused by covert terminals and interference from concurrently transmitting vehicles [70]. The idea of the internet of vehicles (loV) can be used for all forms of transportation, significantly altering how information is exchanged between them [71].…”

“…Vehicles are unaware of other vehicles that are simultaneously broadcasting due to the ad hoc nature of vehicular communications for safety applications, which can lead to crashes. When there is a high vehicle density and a high data traffic load, this is a severe concern of the network [70], which causes accidents; another issue that needs to be addressed is liability. For the various levels of automation, a distinct line defining the scope of liability must be established to determine the cause of the accident.…”