Extension of internet access to VANET via satellite receive-only terminals

Aslam, Baber; Wang, Ping; Zou, Cliff C.

doi:10.1504/ijahuc.2013.058235

Cited by 18 publications

(7 citation statements)

References 38 publications

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“…The collaboration with other networks is not an available feature in VANET [23]. In addition, commercial applications are not available in VANET due to the absence of continuous Internet connectivity [4]. In case of Internet loss, and due to the ad-hoc architecture, vehicles are not able to communicate with the driver's or the passenger's devices.…”

Section: Motivations To Launch Internet Of Vehiclesmentioning

confidence: 99%

“…However, he said that it is "moving swiftly" to 4G LTE connectivity, with the technology forecast to be installed in nearly 90 percent of connected cars by 2022 [3]. As seen, the purely ad-hoc nature of VANET [4], the lack of cloud computing and advanced computing despite all the ongoing attempts to integrate this functionality [5] and the lack of connectivity between the vehicle and personal devices [6] have meant that VANET has eclipsed its value. In addition, the main objective of VANET is to ensure driver safety, but safety solutions have not yet been developed at the time of writing this paper.…”

Section: Introductionmentioning

confidence: 99%

“…However, these real-time constraints make the applications vulnerable to Denial of Service attacks (DoS), therefore, detection of real-time attacks is critical when insiders evades existing protection mechanisms. 4. Scalable network: ITS can be applied in urban or rural areas thus the network's size is not limited to a defined area [45].…”

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confidence: 99%

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Towards a secure ITS: Overview, challenges and solutions

Sleem

Noura

Couturier

2020

Journal of Information Security and Applications

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Intelligent Transportation Systems (ITS), the heart of the new revolution of smart transport, has evolved from the well-known Vehicular Ad-hoc Networks (VANETs) to become the Internet of Vehicles (IoV). In fact, the increase in the number of vehicles and the newly born technologies have stimulated the new Internet of Vehicles (IoV) or the Internet of Cars. In general, ITS aims at ensuring better traffic efficiency and reducing road accidents. However, due to different limitations and issues, these systems suffer from different security and privacy vulnerabilities. In fact, they are both vulnerable to various types of security and privacy attacks that may result in life-endangering situations. As a result, several solutions were presented to achieve the required levels of security and confidentiality. In this paper, an overview of ITS is presented stating the reasons behind the evolution from Vanet to IoV. Then, the main threats/attacks that threaten ITS are classified according to their (1) security impact and according to the (2) network layer(s) they affect. Solutions for each attack are also well presented. In addition, a security and performance evaluation and summary tables are presented to provide an overview of these surveyed solutions.

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Section: Motivations To Launch Internet Of Vehiclesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards a secure ITS: Overview, challenges and solutions

Sleem

Noura

Couturier

2020

Journal of Information Security and Applications

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“…Despite creating greater opportunity in the transportation system at lower operational cost, 4 VANETs suffer from various drawbacks such as a lack of pure ad hoc-network architecture, 18 incompatibility with personal devices, 19 unreliable Internet service, 20 lower service accuracy, unavailability of cloud computing, 21 and cooperative operational dependency of the network. Concurrently, there have a limited number of access points for particular networks.…”

Section: Internet Of Vehiclesmentioning

confidence: 99%

Convolutional neural networkscheme–based optical camera communication system for intelligent Internet of vehicles

Islam

Hossan

Jang

2018

International Journal of Distributed Sensor Networks

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The evolution of the Internet of vehicles and growing use of mobile devices has created a demand for new wireless communication technologies. Optical camera communication, which uses light-emitting diodes as transmitters and cameras as receivers, has emerged as a promising alternative. Since light-emitting diodes and cameras are already exploring in traffic lights, vehicles, and public lightings, optical camera communication has the potential to intelligently handle transport systems. Although other technologies have been proposed or developed in both academia and industry, they are not yet mature enough to uphold the huge requirements of the Internet of vehicles. This study introduces a new intelligent Internet of vehicles system based on optical camera communication combined with convolutional neural networks. Optical camera communication is a promising candidate for maintaining interference-free and more robust communication, for supporting the Internet of vehicles. Convolutional neural network is introduced for precise detection and recognition of light-emitting diode patterns at long distances and in bad weather conditions. We propose an algorithm to detect the interested light-emitting diode signals (i.e. regions-of-interest), measure the distance using a stereo-vision technique to find out the desired targets, and simulate our proposed scheme using a MATLAB Toolbox. Thus, our system will provide great advantages for next-generation transportation systems.

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“…Each vehicle is equipped with wireless technology to cooperatively exchange or broadcast information with other vehicles in the network. The wireless technologies that have been investigated in vehicular networks during the past decade include dedicated short-range communications (DSRC)/wireless access in vehicular environment (WAVE) [3][4][5], cellular [6], satellite [7], and WiMAX [8].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Adaptive Beaconing in Vehicular Ad Hoc Networks: A Survey

Bouk

Kim

2015

International Journal of Distributed Sensor Networks

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Beacon or safety messages are broadcasted in vehicular ad hoc networks (VANETs) to disseminate network state or emergency incident information to other vehicles in the network. The freshness of information depends upon the frequent transmission of beacons. Similarly, to increase the awareness area or communicating with the distant nodes, beacons are disseminated with a high transmission power. However, increasing the beacon transmission power or rate has a negative effect on information communication efficiency because of the finite bandwidth of the wireless link. Therefore, different schemes have been proposed to individually control beacon's transmission power, transmission rate, or contention window at the MAC layer, or any combination of those, to achieve quality beacon communication in VANETs. The latter case is called hybrid adaptive beaconing schemes. In literature, there are many hybrid adaptive beaconing schemes that control multiple communication parameters to efficiently broadcast beacon messages in VANETs. In this paper, we explicitly survey and summarized various aspects of those schemes. The open and challenging issues are also highlighted in this paper.

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Extension of internet access to VANET via satellite receive-only terminals

Cited by 18 publications

References 38 publications

Towards a secure ITS: Overview, challenges and solutions

Towards a secure ITS: Overview, challenges and solutions

Convolutional neural networkscheme–based optical camera communication system for intelligent Internet of vehicles

Hybrid Adaptive Beaconing in Vehicular Ad Hoc Networks: A Survey

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