Vehicular Cloud and Fog Computing Architecture, Applications, Services, and Challenges

VANET, a type of MANET, connects vehicles to provide safety and non-safety features to the drivers and passengers by exchanging valuable data. As vehicles on road are increasing to handle such data cloud computing, functionality is merged with vehicles known as Vehicular Cloud Computing(VCC) to serve VANET with computation, storage, and networking functionalities. But Cloud, a centralized server, does not fit well for vehicles needing high-speed processing, low latency, and more security. To overcome these limitations of Cloud, Fog computing was evolved, extending the functionality of cloud computing model to the edge of the network. This works well for real time applications that need fast response, saves network bandwidth, and is a reliable, secure solution. An application of Fog is with vehicles known as Vehicular Fog Computing (VFC). This chapter discusses cloud computing technique and its benefits and drawbacks, detailed comparison between VCC and VFC, applications of Fog Computing, its security, and forensic challenges.

Towards the Development of Vehicular Ad-Hoc Networks (VANETs)

Vehicular Ad-Hoc Networks (VANETs), a new mobile ad-hoc network technology (MANET), are currently receiving increased attention from manufacturers and researchers. They consist of several mobile vehicles (intelligent vehicles) that can communicate with each other (inter-vehicle communication) or with fixed road equipment (vehicle-infrastructure communication) adopting new wireless communication technologies. The objective of these networks is to improve road safety by warning motorists of any event on the road (accidents, hazards, possible deviations, etc.), and make the time spent on the road more pleasant and less boring (applications deployed to ensure the comfort of the passengers). Practically, VANETs are designed to support the development of Intelligent Transportation Systems (ITS). The latter are seen as one of the technical solutions to transport challenges. This chapter, given the importance of road safety in the majority of developed countries, presents a comprehensive study on the VANET networks, highlighting their main features.

Performance Investigation of Topology-Based Routing Protocols in Flying Ad-Hoc Networks Using NS-2

Recently, with the rapid technological advancement in communication technologies, it has been possible to establish wireless communication between small, portable, and flexible devices like Unmanned Aerial Vehicles (UAVs). These vehicles can fly autonomously or be operated without carrying any human being. The workings with UAVs environment often refer to flying ad-hoc network (FANETs), currently a very important and challenging area of research. The usage of FANETs promises new applications in military and civilian areas. The data routing between UAVs also plays an important role for these real-time applications and services. However, the routing in FANETs scenario faces serious issues due to fast mobility and rapid network topology change of UAVs. Therefore, this chapter proposes a comparative study on topology-based routing protocols like AODV, DSDV, and DSR. Furthermore, investigate the performance of these different protocols for a FANETs environment based on different parameters by using the NS-2 simulator.

Open Threads-Enabled Mesh Networks in Vehicles for Real-Time Traffic Monitoring

The exponential increase of traffic on roads has led to numerous disastrous consequences. These issues demand an adaptive solution that ensures road safety and decreases the traffic congestion on roads. New paradigms such as Cloud computing and internet of things are aiding in achievement of the inter-communication among the vehicles on road. VANETs are designed to provide effective and efficient communication systems to develop innovative solutions but are restricted due to mobility constraints. This chapter proposes an IP-based novel framework composed of open threads integrated with VANETs exchanging information to create a mesh network among vehicles. This novel Open Threads-based infrastructure can help in achieving a more economical, efficient, safer, and sustainable world of transportation which is safer and greener. This chapter also discusses and compares various thread-enabled microcontrollers by different vendors that can be utilized to create a mesh network.

Directional Location Verification and Routing in Vehicular Ad-Hoc Network

Vehicular ad-hoc network (VANET) is an autonomous system of mobile vehicles in which vehicles are a source of information. In VANET, direct communication between vehicles provides high-level safety and hassle-free drive. Large moving vehicles such as trucks or buses may affect direct communication of vehicles as a nonline of sight (NLOS) may occur. NLOS restricts direct communication of vehicles. Even the corresponding vehicle is within the communication range of the communicating vehicle. To overcome the NLOS problem and verify the location of the vehicles, this chapter has presented a routing mechanism, namely Directional Location Verification and Routing (DLVR) in Vehicular Ad-hoc Network. DLVR model prevents the false location information of the nodes by reduced packet drop and increased packet delivery ratio. Before transmitting data packets DLVR verifies data packets through reliability check. Through simulation work, it has shown the proposed DLVR model reduced packet drop and increased packet delivery ratio which increases the network performance.

Intelligent Transportation System

Today, the technology is moving at a fast pace and has also changed the pace at which the commuter is moving. No longer is the commuter ready to waste time and resources while travelling. This has led to a revolution in the transport sector. ICT, smart devices, and different enabling technologies make intelligent transport systems (ITS) a reality. If well implemented, they can save time and money, help to reduce the environmental threats, and also create business opportunities for many. Today's era is an era of revolution, technological advances, Internet, digitalization, mobile communications, big data, and an era of harnessing the potentials of Cloud Computing. Realizing the benefits of each of these and their utilization and need, a global potential for a powerful and less costly ITS has to be created. This chapter shall give a complete insight into the ITS: its history, components, benefits, issues, and challenges. It would also discuss the future that is in store for ITS but with a realization that the environment is not at stake.

Efficient Encryption Techniques for Data Transmission Through the Internet of Things Devices

A secure environment is needed to communicate without any information leakage. From large devices having UPS to small devices having a battery, the parameter about security changes over time. Researchers need to work in three basics of security: (1) Mutual authentication between devices, (2) Strong encryption methodology for transmission, and (3) Secure storage environment with anytime availability. The IoT-enabled devices demand a lightweight secure environment. In this chapter, authors are concerning on all three points, i.e. Mutual authentication between devices, Strong encryption methodology for transmission, and Secure storage environment with anytime availability. Authors study some of the methods related to lightweight mutual authentication, lightweight cryptography, and local storage techniques; will talk about different issues in the field of secure communication, secure transmission, and secure storage; and will try to find out some research gap with a possible countermeasure.

A Taxonomy of Sybil Attacks in Vehicular Ad-Hoc Network (VANET)

Vehicular ad hoc networks (VANETs) are a class of ad hoc networks in which vehicle communicate with each other to show the traffic situation and any mishappening on the road. VANET is vulnerable to a number of attacks due to its infrastructure-less nature. One of these attacks is the Sybil attack. Security of data dissemination in VANET is very crucial, otherwise any mishappening can occur on road. Sybil attack is very difficult to be defended and detected, especially when it is launched by some conspired attackers using their legitimate identities, and this has become a growing research interest in VANETs in past few years. This chapter studies various dimension of VANETs including its structure, communication architecture, security issues, and critical review of technique to detect Sybil attacks.

A Relative Study About Mobile Ad-Hoc Network (MANET)

This chapter includes a relative study of mobile ad-hoc networks (MANET), vehicular ad hoc networks (VANET), and Flying ad-hoc networks (FANET). The approaches and protocol applicable to MANET are equally applicable to VANET or FANET. Authors discuss several emerging application and the future trends of MANET, VANET, and FANET. The common attacks on ad hoc networks are also introduced. The chapter enhances the overall concepts relative to MANET, VANET, and FANET. Authors compare mobile ad-hoc networks (MANET), vehicular ad hoc networks (VANET), and flying ad-hoc networks (FANET) in all aspects with the help of several examples. The chapter includes a relative and detailed study of mobile ad-hoc networks (MANET), vehicular ad hoc networks (VANET), and Flying ad-hoc networks (FANET).

A Review on the Role and Importance of Congestion Control for Traffic Optimization in Vehicular Ad-Hoc Networks

Vehicular Ad hoc Networks (VANets) are designed to provide reliable wireless communications between high-speed mobile nodes. To improve the performance of VANets' applications, and make a safe and comfort environment for VANets' users, Quality of Service (QoS) should be supported in these networks. The delay and packet losses are two main indicators of QoS that dramatically increase due to the congestion occurrence in the networks. Indeed, due to congestion occurrence, the channels are saturated and the packet collisions increase in the channels. Therefore, the congestion should be controlled to decrease the packet losses and delay, and to increase the performance of VANets. Congestion control in VANets is a challenging task due to the specific characteristics of VANets such as high mobility of the nodes with high speed, and high rate of topology changes, and so on.