Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments

Khasawneh, Ahmad M.; Helou, Mamoun Abu; Khatri, Aanchal; Aggarwal, Geetika; Kaiwartya, Omprakash; Altalhi, Maryam; Abu-ulbeh, Waheeb; AlShboul, Rabah

doi:10.3390/s22031247

Cited by 13 publications

(5 citation statements)

References 31 publications

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“…Study [ 25 ] proposes a heterogeneous network model for connected Internet of Vehicles (IoV) and service-oriented network optimization, focusing on vehicle cloud, communication, and intelligent use cases as clients. A service-centric heterogeneous vehicular network model is proposed for connected traffic environments.…”

Section: Related Workmentioning

confidence: 99%

Development of a Smart Signalization for Emergency Vehicles

Ṣiddiqi

Alruwaili

Tarimer

et al. 2023

Sensors

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As the population increases, the number of motorized vehicles on the roads also increases. As the number of vehicles increases, traffic congestion occurs. Traffic lights are used at road junctions, intersections, pedestrian crossings, and other places where traffic needs to be controlled to avoid traffic chaos. Due to traffic lights installed in the city, queues of vehicles are formed on the streets for most of the day, and many problems arise because of this. One of the most important problems is that emergency vehicles, such as ambulances, fire engines, police cars, etc., cannot arrive on time despite traffic priorities. Emergency vehicles such as hospitals and police departments need to reach the scene in a very short time. Time loss is a problem that needs to be addressed, especially for emergency vehicles traveling in traffic. In this study, ambulances, fire brigades, police, etc., respond to emergencies. A solution and a related application have been developed so privileged vehicles can reach their target destination as soon as possible. In this study, a route is determined between the current location of an emergency vehicle and its target location in an emergency. Communication between traffic lights is provided with a mobile application developed specifically for the vehicle driver. In this process, the person controlling the lights can turn on the traffic lights during the passage of vehicles. After the vehicles with priority to pass passed, traffic signaling was normalized via the mobile application. This process was repeated until the vehicle reached its destination.

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Section: Related Workmentioning

confidence: 99%

Development of a Smart Signalization for Emergency Vehicles

Ṣiddiqi

Alruwaili

Tarimer

et al. 2023

Sensors

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“…Vehicle information is accumulated utilizing traffic cameras, onboard sensors, radio frequency identification, infrared sensors, and information is transferred to the smart transport management system via Wi-Fi to automate and coordinate traffic signals and traffic monitoring. A service-centric heterogeneous vehicular network modelling for connected traffic environments is proposed in [ 36 ]. Safety and administration related applications in this area are sorted into three kinds.…”

Section: Background Of Iotmentioning

confidence: 99%

A Survey and Tutorial on Network Optimization for Intelligent Transport System Using the Internet of Vehicles

Panigrahy¹,

Emany²

2023

Sensors

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The Internet of Things (IoT) has risen from ubiquitous computing to the Internet itself. Internet of vehicles (IoV) is the next emerging trend in IoT. We can build intelligent transportation systems (ITS) using IoV. However, overheads are imposed on IoV network due to a massive quantity of information being transferred from the devices connected in IoV. One such overhead is the network connection between the units of an IoV. To make an efficient ITS using IoV, optimization of network connectivity is required. A survey on network optimization in IoT and IoV is presented in this study. It also highlights the backdrop of IoT and IoV. This includes the applications, such as ITS with comparison to different advancements, optimization of the network, IoT discussions, along with categorization of algorithms. Some of the simulation tools are also explained which will help the research community to use those tools for pursuing research in IoV.

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“…This model focus on vehicular cloud and heterogenous communication. It has a great performances as well as effective resource utilization [11]. In 2022, Lan Su propose vehicle to vehicle scheduling scheme for solving the resource utilization problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Resource Allocation Technique among Mobile Virtual VCN operators

Agarwal

Sharma

2023

Preprint

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Resource allocation has been a guaranteed approach to provide users, spectrum from different network operators. In this research, we examine the use of Mobile virtual VCN operator (MVVO) to allow spectrum sharing. Specifically, we introduce a spectrum dividing framework between three VCN operators. We execute fairness by confirming that each VCN operators receive spectrum from another VCN operators for its user at reasonable charge. We formulate a Markov decision process to determine user scheduling between three VCN operators. Simulation result shows that virtual network operator takes 9 seconds for collecting information about user and network operator. Our numerical result validate that this scheme can achieve up to 90% improvement in terms of user satisfaction rate.

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Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments

Cited by 13 publications

References 31 publications

Development of a Smart Signalization for Emergency Vehicles

Development of a Smart Signalization for Emergency Vehicles

A Survey and Tutorial on Network Optimization for Intelligent Transport System Using the Internet of Vehicles

Resource Allocation Technique among Mobile Virtual VCN operators

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