Future Applications of VANETs

A Vehicular Adhoc Network (VANET) is a generic conceptualisation that can be applied to the communications domain of an Intelligent Transportation Systems (ITS). It defines requirements that allow the exchange of information between applications and services running on equipment that form a VANET, mainly moving vehicles, fixed road infrastructure's systems and mobile personal devices. In this unique and demanding environment, interoperability is attained through the use of specific wireless communications technologies and protocols which have been addressed by several international standardisation organisations in an effort to boost the development of applications that could help users in very important application areas such as traffic safety and efficiency, infotainment and personal comfort. The great heterogeneity on the capabilities of the interconnected devices, the scale of the number of devices that could be involved, the various degrees of density and the complexity on the mobility patterns, makes interoperability at the application level a challenging problem. Apart from the technical restrictions imposed by those specific technologies, standard communications architectures for ITS present additional limitations due to the strategy used to access the communications technologies inside an ITS station, which is based on classic routing and switching mechanisms, signalling methodologies and facilities middle-ware layers. They also lack important implementation details for deployment of collaborative applications in real-world heterogeneous scenarios, favouring the development of these applications in a closed ecosystem, mainly dominated by the automotive industry leaders. This paper presents an agnostic VANET architecture, adapted from ETSI and ISO modern standards, to be deployed on ITS as a mean to overcome those limitations. This new approach permits the use of different communication technologies and network/transport protocol stacks in an open and modular framework, facilitating the creation of ITS cooperative applications and services, using traditional network programming paradigms where applications use the available medium transparently. The proposed architecture and its design principles have been used during the development, implementation and deployment of a Platooning application that the authors have developed on top of commercially available On Board Units.

Road-to-vehicle communication (RVC) system will support multiple services in future intelligent transportation systems (ITS). To meet different QoS requirements especially on delay, it is important to differentiate data frames of different applications. However the upcoming Northern American DSRC standard based on IEEE 802.11a specification uses legacy DCF MAC and it lacks support for different QoS which is crucial in future multi-service RVC system. In This work we analyze different QoS requirements of the various possible applications in ITS and propose to use enhanced DCF (EDCF) for future RVC systems to give QoS enhancement. Through simulation, we are sure EDCF is much more suitable for future typical ITS applications.

The growth of technical revolution towards 5G Next generation networks is expected to meet various communication requirements of future Intelligent Transportation Systems (ITS). Motivated by the consumer needs for variety of ITS applications, bandwidth, high speed and ubiquity, researches are currently exploring different network architectures and techniques, which could be employed in Next generation ITS. To provide flexible network management, control and high resource utilization in Vehicular Ad-hoc Networks (VANETs) on large scale, a new hierarchical 5G Next generation VANET architecture is proposed. The key idea of this holistic architecture is to integrate the centralization and flexibility of Software Defined Networking (SDN) and Cloud-RAN (CRAN), with 5G communication technologies, to effectively allocate resources with a global view. Moreover, a fog computing framework (comprising of zones and clusters) has been proposed at the edge, to avoid frequent handovers between vehicles and RSUs. The transmission delay, throughput and control overhead on controller are analyzed and compared with other architectures. Simulation results indicate reduced transmission delay and minimized control overhead on controllers. Moreover, the throughput of proposed system is also improved.

Vehicular ad hoc networks (VANETs) present an intriguing platform for several applications on e.g., intelligent transportation system (ITS) and infotainment applications aspire to be the main pattern of communication among vehicles while travelling. This can significantly impact on the amount of data exchanged by vehicles, increasing the contention on communication links and thus, degrading the quality of service of these applications. So, discrimination of data becomes imperative and forwarding critical information on suitable routes becomes decisive. Hence, a quality of service (QoS)-driven mechanism is needed to handle and assign network resources according to the stringent application data traffic demands. But, VANETs high node mobility and frequent link failure, stuck a big challenge in implementing an effective policy to meet and enforce these QoS requirements. A promising way to tackle this issue is to enforce QoS at the network layer, since it is the crucial point in VANETs’ communication. So, over the years, many QoS-aware routing protocols were specifically conceived for VANETs. In this paper, we present a comprehensive survey of QoS-aware routing protocols in VANETs’ literature. We examined the protocols based on their ability to support ITS infotainment services, their multi-constraint path problem (MCP), protocol’s functionality and weakness, objectives and design challenges. This way, we outline future directions for VANETs QoS-aware protocol research.

Intelligent Transportation Systems (ITS) are nowadays considered very important applications of smart cities. One of the most important technologies that are utilized to support ITS is Vehicular Ad-hoc Networks (VANETs). In VANETs, vehicles communicate with each other (V2V) or with the infrastructure (Roadside Units) (V2I). Roadside Units (RSUs) collect data from vehicles in the coverage area and send it to cloud servers through the Internet. Cloud servers have high performance computational and storage capabilities that ITS applications require for data processing. However, due to the real-time requirements of the ITS applications, cloud approach alone cannot be guaranteed to satisfy the strict time constraints due to long latency access of the centralized cloud server. Fog Computing is an emerging approach that extends the services of cloud computing to the edge of the network. Fog Computing can be utilized in VANETs through deployment of fog nodes into RSUs. One of the major challenges is identifying the optimum number, locations and computational capabilities of the RSUs particularly in urban regions where obstacles exist heavily inside the coverage area of the RSUs. In this paper, we consider the optimization problem of fog-based RSU placement where the objective is to maximize the achieved level of service quality in a cost-effective way. The problem is formulated as a Satisfiability Modulo Theories (SMT) problem and solved using Microsoft Z3. The proposed approach is able to generate a set of solutions as Pareto front. We obtained data from OpenStreetMap for Cairo city. Our approach outperforms other solutions in the literature in terms of cost.

Multimedia communications over vehicular ad hoc networks (VANET) will play an important role in the future intelligent transport system (ITS). QoS support for VANET therefore becomes an essential problem. In this paper, we first study the QoS performance in multi-hop VANET by using the standard IEEE 802.11e EDCA MAC and our proposed triple-constraint QoS routing protocol, Delay-Reliability-Hop (DeReHQ). In particular, we evaluate the DeReHQ protocol together with EDCA in highway and urban areas. Simulation results show that end-to-end delay performance can sometimes be achieved when both 802.11e EDCA and DeReHQ extended AODV are used. However, further studies on cross-layer optimization for QoS support in multi-hop environment are required.

With the proliferation of vehicular technology, modern vehicles are fortified with ever more electronic maneuvers. This advancement ratifies the evolution of Intelligent Transportation Systems (ITS)to provide services like shared travel, smart driving, on-the-go Internet, etc. As a traditional application of ITS, a Vehicular Ad hoc Network (VANET) enables smart communication between vehicle nodes and network infrastructures to provide various expedient services such as road safety, data sharing, traffic management, parking assistance, entertainment, route recommendation, mobile payment, and even cloud applications. The high-speed mobile nodes (vehicles) in VANET perform very differently from other wireless communication networks and have a set of distinct features such as frequent link disconnection, highly dynamic topology, limited coverage area, and heterogeneous system architecture that may affect the performance and service quality of the VANET significantly. With this motivation, this work attempts to develop distributed cooperative cluster-based IDS to identify potential cyberattacks in VANET effectively. Firstly, this work develops a stable and reliable clustering method named Fuzzy Logic-based Clustering (FLC) to create a collaborative and reliable communication environment. A new fuzzy logic-based CH node selection algorithm is also developed based on node degree, average velocity difference, and relative velocity of the vehicle to create a more robust clustering structure with minimum cost in VANET

Cooperative, connected and automated Intelligent Transportation System (ITS) aims to improve road traffic safety, comfort, security, and traffic management by sharing data/information among vehicles, infrastructure and road users. Cooperative ITS (C-ITS) also targets the reduction of environmental impact by the road transportation systems. Regarding self-driving vehicles, C-ITS plays a complementary role for enhancing on-board vehicle sensory data and thus making autonomous vehicles more robust and safe. In this paper we present the C-ITS platform, the test-cases and scenarios to be performed during the Lisbon Pilot of the AUTOCITS project. We also provide a description of the C-ITS Day-1 services, as simulated and also real-world events, that will be deployed and evaluated during the test-cases. Conventional, instrumented and autonomous vehicles will take part on the Lisbon Pilot, all equipped with on-board connected vehicular technologies. Two scenarios will be considered, motorway and urban-node scenarios, having distinct vehicles and test-cases, but all sharing the same C-ITS technology framework.

Intelligent Transportation Systems (ITS) is an integrated approach being developed to exchange relevant information to increase the safety and efficiency of the road transportation systems. Vehicular Ad hoc Network (VANET), a variant of mobile ad hoc networks (MANET), is a core component of ITS. Performance of this smart ITS mainly owes to the design of efficient routing protocols in VANETs. Distinct features of VANETs like unsteady connectivity, high mobility and partitioning of the network have made routing of the information in VANETs difficult and challenging, hence dictating the development of efficient routing protocols. The computation of the best route measures the performance of communication whereas routing protocols takes care of communication & routing of the data. Provision of smart communication, necessitates the analysis of routing protocols in VANET. Accordingly in this paper we have reviewed various types of existing routing protocols in VANET, listing their advantages and disadvantages. Lastly possible inclinations of forthcoming research linked to VANET routing are discussed.

Software-defined vehicular network (SDVN): A survey on architecture and routing

Vehicular ad hoc network (VANET) is a fundamental building block in the design of an Intelligent Transportation System (ITS). Considering the various applications in ITS, a VANET must provide communication solutions in different situations. In particular, we are interested in dealing with situations where the unicast communication problem occurs in sparse network scenarios. In this paper, we shed light on the need for mechanisms that take into account the vehicles' trajectories. We present a characterization that shows the spatiotemporal regularity of the vehicle movement. We propose a new methodology for identifying the spatiotemporal relationship between vehicle trajectories. We create a novel method named ROSTER for unicast routing in sparse VANETs. Simulations results show that the proposed solution considerably reduces message overhead in the network by maintaining compatible levels of delivery rate in comparison with other protocols.

In recent years, vehicular ad-hoc networks (VANETs) have received considerable attentions. As a promising approach to future Intelligent Transportation System (ITS), VANET is capable of providing safety related applications, Internet accessing and various user applications for drivers and passengers. To support efficient data interaction among vehicles, clustering based topology can be applied which groups vehicle nodes in geographical vicinity together, supports direct interaction inside one cluster and inter-cluster data interaction through cluster heads (CHs). Both K-means and K-Harmonic Means (KHM) algorithms are commonly-used clustering algorithms for wireless sensor networks, however, these algorithms cannot be applied to VANETs directly due to the specific characteristics of VANETs. In this paper, we propose an improved KHM algorithms, called Adaptive K-Harmonic Means (AKHM) clustering algorithm for VANETs, which jointly considers the available bandwidth of candidate CHs, and relative distance and velocity between cluster members (CMs) and CHs. To perform the proposed algorithm, the initial values of the number of clusters and the positions of each centroids are chosen and the weighted distance between vehicles and centroids is defined, based on which the objective function can be formulated, and the optimal CHs and the association between CMs and CHs can then be determined. The simulation results demonstrate the efficiency of AKHM algorithm.

The issues of congestion control on non-safety applications in vehicular ad hoc networks (VANETs) have received considerable crucial attention in the field of intelligent transport systems (ITS). The critical challenges of ITS applications are in the events of intermittent connectivity and data collisions. Another challenge is the event-driven effect on both safety and non-safety applications that are critically relied on delay and reliability. So far, the development of protocol stacks for VANETs implies the WAVE protocol other IEEE 802.11p MAC protocol. Based on IEEE 802.11p MAC protocol standard in the 5.9 GHz band (other similar protocols such as C2C-CC for European and CALM from ISO) in which adopt of vehicle manufacturers of Information Communication Technology (ICT) to address the safety systems, emergency (breakdown, SOS), traffic control, environmental, navigational, and tracking. Little attention has been given to non-safety applications, for instance, chat, twitter, SMS, internet services, video-on-the-go, etc. Besides, roadside-vehicle communications (RVC) caters for information concerning repair notifications, remote diagnostics, context information, navigation information, and alerts system. In this survey, we present a framework that proposes a guideline and recommendation for the congestion control mechanism perspectives in VANETs. In particular, researches are centered on the investigation of the mobility model of congestion control algorithms. Finally, this survey contributes to appropriate knowledge and challenges in legacy congestion control of VANETs and toward the future research development.

In the era of the Internet of Things (IoT), various applications providing people with utilities are rapidly emerging by the needs for people. Recently, combining cloud computing, IoT technologies, and vehicular applications promotes Intelligent Transportation System (ITS). In other words, this is for safety of vehicles and drivers as well as convenience of the drivers. Vehicular Ad-hoc Network (VANET) is an application of Mobile Ad-hoc Network (MANET), which is a networking technology including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) using wireless communications. In real life, vehicles and infrastructures which have a lot of sensors generate various data for Cooperative-Intelligent Transportation System (C-ITS) application services according to each sensor type. Therefore, collecting, processing, and storing a number of data generated from various sensors built in vehicles and infrastructures require a great computing capacity and storage resources. In this paper, we propose an architecture of prospective cloud-connected vehicle information system for C-ITS application services in connected vehicle environment and describe the procedure of our local and global vehicle information system concerned with case scenario.

Vehicular ad-hoc network (VANET) plays a significant role in future intelligent transportation systems. The main objective of vehicular ad hoc networks (VANETs) is to improve driver safety and traffic efficiency. Many researchers proposed different schemes to improve communication efficiency. It is quite challenging where vehicles’ speed, Direction, and density of neighbors on the move are not consistent. Although several routing protocols have been introduced to manage data exchange among vehicles in VANETS, they still suffer from many drawbacks such as lost packets or time penalties. This paper introduced a new Fog Based Routing Strategy, which constructs a reliable system of adaptive, stable, and efficient routing networks. FBRS consists of two main phases: System Setup Phase (SSP) and System Operation Phase (SOP). SSP creates a cluster network, collects its nodes’ data, mining routes between them, and ranking paths using Dijkstra’s algorithm into a simplified table. Although, SOP generates a reliable route between the request of any two nodes for a communication channel and maintains the route against any simultaneous crashes. Recent VANET routing protocols have been compared against FBRS. Experimental results have proven the outperforming of the proposed algorithm against recent routing protocols in terms of packet delivery ratio and routing overhead.