A Geocast Protocol with Information-Centric Perspective in Vehicular Ad-Hoc Networks (VANETs)

Vehicular ad-hoc networks (VANETs) is subclass of network of mobile ad-hoc network (MANET) type, it has emerged as a platform that supports inter-vehicles communication to improve road traffic safety. A conventional packet-based routing protocol where a packet moves from a source to a destination untouched throughout the entire process no longer satisfies the requirements in VANETs because of the high mobility of vehicles. This article proposes a routing protocol with an information-centric perspective for the VANETs, the techniques invoked are: Geocast instead of the classical multicast and the aggregation location-based. The simulation results under NS-3 and SUMO show that this protocol can help to limit the redundancy of the messages exchanged by their aggregation without maintaining a hierarchical structure; which minimizes transmission costs and ensures reliability and performance.

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Overview of Security Issues in Vehicular Ad-hoc Networks

Handbook of Research on Mobility and Computing ◽

10.4018/978-1-60960-042-6.ch056 ◽

2011 ◽

pp. 894-911 ◽

Cited By ~ 22

Author(s):

José María De Fuentes ◽

Ana Isabel González-Tablas ◽

Arturo Ribagorda

Keyword(s):

Ad Hoc Networks ◽

Traffic Safety ◽

Traffic Management ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Road Traffic ◽

High Mobility ◽

Security Issues ◽

Vanet Security ◽

Hoc Networks

Vehicular ad-hoc networks (VANETs) are a promising communication scenario. Several new applications are envisioned, which will improve traffic management and safety. Nevertheless, those applications have stringent security requirements, as they affect road traffic safety. Moreover, VANETs face several security threats. As VANETs present some unique features (e.g. high mobility of nodes, geographic extension, etc.) traditional security mechanisms are not always suitable. Because of that, a plethora of research contributions have been presented so far. This chapter aims to describe and analyze the most representative VANET security developments.

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Data Science in Vehicular Ad-Hoc Networks

IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-7998-2570-8.ch010 ◽

2020 ◽

pp. 191-202

Author(s):

Ananthi Govindasamy ◽

S. J. Thiruvengadam

Keyword(s):

Ad Hoc Networks ◽

Data Science ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Mobile Ad Hoc Network ◽

Road Traffic ◽

High Mobility ◽

The Road ◽

Wireless Network Design ◽

Hoc Networks

Vehicular Ad-hoc Networks (VANET) is a mobile ad-hoc network in which vehicles move rapidly through the road and topology changes very frequently. VANET helps to provide safe, secure, and more comfort travel to travelers. Vehicles intelligence is an important component in high mobility networks, equipped with multiple advanced onboard sensors and contain large volumes of data. Datascience is an effective approach to artificial intelligence and provides a rich set of tools to exploit such data for the benefit of the networks. In this chapter, the distinctive characteristics of high mobility vehicular ad-hoc networks are identified and the use of datascience is addressing the resulting challenges. High mobility vehicular ad-hoc networks exhibit distinctive characteristics, which have posed significant challenges to wireless network design. Vehicle traffic data, and road traffic future condition data are analyzed and incorporated to enhance the VANET performance. VANETs technologies are useful to efficiently model and reliably transmit big data.

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An Efficient Routing Protocol for Vehicular Ad-Hoc Networks

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327910999200717170558 ◽

2020 ◽

Vol 10 ◽

Author(s):

Anant Ram

Keyword(s):

Ad Hoc Networks ◽

Routing Protocol ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

High Mobility ◽

Greedy Forwarding ◽

Routing Strategy ◽

Moving Vehicles ◽

Hoc Networks ◽

Selection Of

Background: VANETs (Vehicular Ad-Hoc Networks) are the subclass of MANETs, which has recently emerged. Due to its swift changing topology and high mobility nature, it is challenging to design an efficient routing protocol for routing data amongst both moving vehicles and stationary units in VANETs. In addition, the performance of existing routing protocols is not effective due to high mobility characteristics of VANETs. Methods: In this paper, we proposed link reliable routing strategy that makes use of restricted greedy forwarding by considering neighborhood vehicles density and the least, average velocity with its own neighboring vehicles for the selection of next forwarder. Result: The proposed approach take the assumption that at every junction the police patrolling car (i.e. PCR junction node), which forwards the packet to vehicle onto correct road segment only. The link reliability is ensured by the mechanism for the selection of the next forwarder. Conclusion: The objective of this paper is to increase route reliability to provide increase throughput without greatly affecting end-to-end delay. The simulation results reveal that the proposed approach Reliable GPSR(R-GPSR) outperforms existing GPSR and E-GyTAR approach.

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Velocity Aware Multipath Distance Vector Routing Protocol for High Mobility over Vehicular Ad-Hoc Networks

2011 Fifth FTRA International Conference on Multimedia and Ubiquitous Engineering ◽

10.1109/mue.2011.42 ◽

2011 ◽

Cited By ~ 5

Author(s):

Won-Il Lee ◽

Shaikhul Islam Chowdhury ◽

Guen-Young Kee ◽

Woon-Sung Baek ◽

Jae-Young Pyun

Keyword(s):

Ad Hoc Networks ◽

Routing Protocol ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

High Mobility ◽

Distance Vector ◽

Hoc Networks

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Cooperation Promotion from the Perspective of Behavioral Economics: An Incentive Mechanism Based on Loss Aversion in Vehicular Ad-Hoc Networks

Electronics ◽

10.3390/electronics10030225 ◽

2021 ◽

Vol 10 (3) ◽

pp. 225 ◽

Cited By ~ 1

Author(s):

Jiaqi Liu ◽

Shiyue Huang ◽

Hucheng Xu ◽

Deng Li ◽

Nan Zhong ◽

...

Keyword(s):

Ad Hoc Networks ◽

Loss Aversion ◽

High Speed ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Mobile Ad Hoc Network ◽

Incentive Mechanism ◽

Final Decision ◽

The Incentive Mechanism ◽

Hoc Networks

As a special mobile ad-hoc network, Vehicular Ad-hoc Networks (VANETs) have the characteristics of high-speed movement, frequent topology changes, multi-hop routing, a lack of energy, storage space limitations, and the possible selfishness of the nodes. These characteristics bring challenges to the design of the incentive mechanism in VANETs. In the current research on the incentive mechanism of VANETs, the mainstream is the reward-based incentive mechanism. Most of these mechanisms are designed based on the expected utility theory of traditional economics and assume that the positive and negative effects produced by an equal amount of gain and loss are equal in absolute value. However, the theory of loss aversion points out that the above effects are not equal. Moreover, this will lead to a deviation between the final decision-making behavior of nodes and the actual optimal situation. Therefore, this paper proposed a Loss-Aversion-based Incentive Mechanism (LAIM) to promote the comprehensive perception and sharing of information in the VANETs. This paper designs the incentive threshold and the threshold factor to motivate vehicle nodes to cooperate. Furthermore, based on the number of messages that the nodes face, the utility function of nodes is redesigned to correct the assumption that a gain and a loss of an equal amount could offset each other in traditional economics. The simulation results show that compared with the traditional incentive mechanism, the LAIM can increase the average utility of nodes by more than 34.35%, which promotes the cooperation of nodes.

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A Survey on Applications of Reinforcement Learning in Flying Ad-Hoc Networks

Electronics ◽

10.3390/electronics10040449 ◽

2021 ◽

Vol 10 (4) ◽

pp. 449

Author(s):

Sifat Rezwan ◽

Wooyeol Choi

Keyword(s):

Reinforcement Learning ◽

Ad Hoc Networks ◽

Wireless Ad Hoc Networks ◽

Routing Protocol ◽

Traffic Congestion ◽

Ad Hoc ◽

High Mobility ◽

Flight Trajectory ◽

Research Issues ◽

Hoc Networks

Flying ad-hoc networks (FANET) are one of the most important branches of wireless ad-hoc networks, consisting of multiple unmanned air vehicles (UAVs) performing assigned tasks and communicating with each other. Nowadays FANETs are being used for commercial and civilian applications such as handling traffic congestion, remote data collection, remote sensing, network relaying, and delivering products. However, there are some major challenges, such as adaptive routing protocols, flight trajectory selection, energy limitations, charging, and autonomous deployment that need to be addressed in FANETs. Several researchers have been working for the last few years to resolve these problems. The main obstacles are the high mobility and unpredictable changes in the topology of FANETs. Hence, many researchers have introduced reinforcement learning (RL) algorithms in FANETs to overcome these shortcomings. In this study, we comprehensively surveyed and qualitatively compared the applications of RL in different scenarios of FANETs such as routing protocol, flight trajectory selection, relaying, and charging. We also discuss open research issues that can provide researchers with clear and direct insights for further research.

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