Vehicular Cloud Computing

Ad Hoc ◽

Vehicular Network ◽

Collision Warning ◽

Vehicular Cloud ◽

The Difference ◽

Cloud computing provides a way to avail hardware and software to provide services over the networks to users, whereas in mobile cloud computing, mobile devices are a part of cloud users and service providers. Vehicular ad hoc networks (VANETs) are developed with the help of mobile ad hoc networks (MANET) with the difference that the data are exchanged among mobile vehicles to enhance the road safety and traffic efficiency. VANETs safety applications includes traffic signal violation, curve speed warning, emergency brake lights, pre-crash sensing, collision warning, left turn assist, lane change warning, and stop sign assist. But due to the requirement of smaller size, one of the significant challenges of the vehicular network is the limited resource with respect to memory, computation power, and bandwidth. It leads to slow data processing capability. However, the demanding requirement of emerging application is complex computation with high storage capacity. This necessity can be fulfilled by sharing the available resource among all the vehicles which are in near proximity. It can be achieved by integrating the vehicular network with cloud computing which is called as vehicular cloud computing (VCC). VCC is a new technological shift that can take the advantages of cloud computing to afford the services to drivers of VANET. But VCC is still in early stage and due to its unique features and applications it has become a significant emerging research area which needs to be explored further.

Mobile Networks and Cloud Computing Convergence for Progressive Services and Applications - Advances in Wireless Technologies and Telecommunication ◽

Vehicular Cloud Computing

10.4018/978-1-4666-4781-7.ch014 ◽

2014 ◽

pp. 262-274 ◽

Cited By ~ 2

Author(s):

Kayhan Zrar Ghafoor ◽

Marwan Aziz Mohammed ◽

Kamalrulnizam Abu Bakar ◽

Ali Safa Sadiq ◽

Jaime Lloret

Keyword(s):

Cloud Computing ◽

Vehicular Networks ◽

Ad Hoc ◽

Vehicular Cloud ◽

Performance Improvements ◽

Potential Applications ◽

Research Outcome ◽

Recently, Vehicular Ad Hoc Networks (VANET) have attracted the attention of research communities, leading car manufacturers, and governments due to their potential applications and specific characteristics. Their research outcome was started with awareness between vehicles for collision avoidance and Internet access and then expanded to vehicular multimedia communications. Moreover, vehicles’ high computation, communication, and storage resources set a ground for vehicular networks to deploy these applications in the near future. Nevertheless, on-board resources in vehicles are mostly underutilized. Vehicular Cloud Computing (VCC) is developed to utilize the VANET resources efficiently and provide subscribers safe infotainment services. In this chapter, the authors perform a survey of state-of-the-art vehicular cloud computing as well as the existing techniques that utilize cloud computing for performance improvements in VANET. The authors then classify the VCC based on the applications, service types, and vehicular cloud organization. They present the detail for each VCC application and formation. Lastly, the authors discuss the open issues and research directions related to VANET cloud computing.

Vehicular Cloud Computing

Cloud Technology ◽

10.4018/978-1-4666-6539-2.ch048 ◽

2015 ◽

pp. 1049-1061 ◽

Cited By ~ 1

Author(s):

Kayhan Zrar Ghafoor ◽

Marwan Aziz Mohammed ◽

Kamalrulnizam Abu Bakar ◽

Ali Safa Sadiq ◽

Jaime Lloret

Keyword(s):

Cloud Computing ◽

Vehicular Networks ◽

Ad Hoc ◽

Vehicular Cloud ◽

Performance Improvements ◽

Potential Applications ◽

Research Outcome ◽

Recently, Vehicular Ad Hoc Networks (VANET) have attracted the attention of research communities, leading car manufacturers, and governments due to their potential applications and specific characteristics. Their research outcome was started with awareness between vehicles for collision avoidance and Internet access and then expanded to vehicular multimedia communications. Moreover, vehicles' high computation, communication, and storage resources set a ground for vehicular networks to deploy these applications in the near future. Nevertheless, on-board resources in vehicles are mostly underutilized. Vehicular Cloud Computing (VCC) is developed to utilize the VANET resources efficiently and provide subscribers safe infotainment services. In this chapter, the authors perform a survey of state-of-the-art vehicular cloud computing as well as the existing techniques that utilize cloud computing for performance improvements in VANET. The authors then classify the VCC based on the applications, service types, and vehicular cloud organization. They present the detail for each VCC application and formation. Lastly, the authors discuss the open issues and research directions related to VANET cloud computing.

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing ◽

Resource Management in Vehicular Cloud Computing

10.4018/978-1-7998-5339-8.ch118 ◽

2021 ◽

pp. 2448-2470

Author(s):

Sawsan Elfatih Ibrahim ◽

Rashid A. Abd Elhaleem Saeed ◽

Amitava Mukherjee

Keyword(s):

Cloud Computing ◽

Resource Management ◽

Distributed Computing ◽

Ad Hoc ◽

Data Transfer ◽

Point Of View ◽

Vehicular Cloud ◽

Vehicular ad hoc networks are relied upon to essentially enhance movement security and transportation productivity. Accessible correspondence, stockpiling, and calculation assets of the associated vehicles are not well used to meet the administration necessities of canny transportation frameworks. Vehicular cloud computing (VCC) is a promising methodology that makes utilization of the preferences of distributed computing and applies them to vehicular systems. Vehicles have turned out to be prepared with different sensors and assets, making them competent to convey, to share assets, and to carry on helpfully. VC can be depicted from the point of view of uses and administrations offered by vehicles that have a place with a vehicular ad hoc network (VANET) due to the impediment of calculation, stockpiling, and data transfer capacity assets for complex in-vehicle sight and sound amusement applications.

Advances in Computer and Electrical Engineering - Vehicular Cloud Computing for Traffic Management and Systems ◽

Resource Management in Vehicular Cloud Computing

10.4018/978-1-5225-3981-0.ch004 ◽

2018 ◽

pp. 75-97

Author(s):

Sawsan Elfatih Ibrahim ◽

Rashid A. Abd Elhaleem Saeed ◽

Amitava Mukherjee

Keyword(s):

Cloud Computing ◽

Resource Management ◽

Distributed Computing ◽

Ad Hoc ◽

Data Transfer ◽

Point Of View ◽

Vehicular Cloud ◽

Cloud Computing Model for Vehicular Ad hoc Networks

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) ◽

10.1109/cloudnet.2018.8549536 ◽

2018 ◽

Cited By ~ 1

Author(s):

Kashif Naseer Qureshi ◽

Faisal Bashir ◽

Saleem Iqbal

Keyword(s):

Cloud Computing ◽

Ad Hoc Networks ◽

Ad Hoc ◽

Computing Model ◽

Security in Ad Hoc Network and Computing Paradigms

Cloud Security ◽

10.4018/978-1-5225-8176-5.ch030 ◽

2019 ◽

pp. 592-620

Author(s):

Poonam Saini ◽

Awadhesh Kumar Singh

Keyword(s):

Cloud Computing ◽

Distributed Computing ◽

Ad Hoc Networks ◽

Resource Sharing ◽

Ad Hoc ◽

Dominant Role ◽

Portable Computing ◽

Secure Protocols ◽

Resource sharing is the most attractive feature of distributed computing. Information is also a kind of resource. The portable computing devices and wireless networks are playing a dominant role in enhancing the information sharing and thus in the advent of many new variants of distributed computing viz. ubiquitous, grid, cloud, pervasive and mobile. However, the open and distributed nature of Mobile Ad Hoc Networks (MANETs), Vehicular Ad Hoc Networks (VANETs) and cloud computing systems, pose a threat to information that may be coupled from one user (or program) to another. The chapter illustrates the general characteristics of ad hoc networks and computing models that make obligatory to design secure protocols in such environments. Further, we present a generic classification of various threats and attacks. In the end, we describe the security in MANETs, VANETs and cloud computing. The chapter concludes with a description of tools that are popularly used to analyze and access the performance of various security protocols.

Forensic Investigations and Risk Management in Mobile and Wireless Communications - Advances in Wireless Technologies and Telecommunication ◽

Communiqué Issues in MANET and VANET Protocols With Network Security Disquiet

10.4018/978-1-5225-9554-0.ch008 ◽

2020 ◽

pp. 195-220 ◽

Cited By ~ 1

Author(s):

Mamata Rath ◽

Bibudhendu Pati ◽

Jhum Swain

Keyword(s):

Ad Hoc Networks ◽

Mobile Ad Hoc Networks ◽

Network Topology ◽

Mobile Networks ◽

Ad Hoc ◽

Course Of Action ◽

Mobile Stations ◽

The Difference ◽

With faster expansion of mobile networks and quicker increment of web clients, more individuals approach worldwide data and communication innovation, because of which the issues of utilizing web as a worldwide stage and empowering the savvy protests and machines to coordinate, discuss, register, and ascertain slowly develops. In mobile ad-hoc networks (MANETs) and vehicular ad-hoc networks (VANET), the mobile stations and vehicles are self-reconfigurable as per the difference in network topology. Joint action between convenient centers is more basic because of the way that they confront significant difficulties, for example, frailty to work securely while protecting its advantages and performing secure guiding among center points. In the presence of vindictive hubs, one of the rule challenges in MANET is to plot ground-breaking security course of action that can shield MANET from different routing assaults.

DMRVR: Dynamic Milk-Run Vehicle Routing Solution Using Fog-Based Vehicular Ad Hoc Networks

Electronics ◽

10.3390/electronics9122010 ◽

2020 ◽

Vol 9 (12) ◽

pp. 2010

Author(s):

Daniel Domingos Adriano ◽

Carlos Montez ◽

Antonio G. N. Novaes ◽

Michelle Wangham

Keyword(s):

Ad Hoc Networks ◽

Vehicle Routing ◽

Ad Hoc ◽

Time Window ◽

Vehicular Network ◽

Message Delivery ◽

Dynamic Vehicle Routing ◽

Hoc Networks ◽

Milk Run

Milk-run tours with time windows are an essential strategy to collect goods to minimize production and transportation costs. Due to unexpected events at the supplier production or traffic congestion, delays can occur during the vehicle route execution, causing non-compliance between the logistics operator and the company. This paper describes the DMRVR (Dynamic Milk-Run Vehicle Routing) solution that uses a dynamic routing algorithm along with fog-based vehicular ad hoc networks for implementing the collection of goods in milk-run operations that respect the company’s time window. When a production delay occurs, the supplier sends a message through the vehicular network to alert the pickup vehicle, forcing it to make dynamic route changes to satisfy the constraints. We have implemented a queue with a timeout and retransmission features to improve the vehicular network’s message delivery. To assess the DMRVR solution, we analyzed the efficiency of the dynamic vehicle routing and the vehicular network impacts. In the experiments, we used an event-based network simulator OMNeT++ bidirectionally coupled with SUMO (Simulation of Urban Mobility), aiming to make the most realistic simulations. Simulation results show the average route time was lower than the time limit imposed by the company with the DMRVR solution. In dense vehicular network scenarios, the message delivery success rate is higher. Conversely, when the vehicular network scenario is sparse, it is necessary to balance network coverage and distribute more RSUs in specific places.