A flexible testbed architecture for VANET

Ahmed, Hazem; Pierre, Samuel; Quintero, Alejandro

doi:10.1016/j.vehcom.2017.04.004

Cited by 23 publications

(14 citation statements)

References 11 publications

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“…Ahmed et al [89] presented a testbed for real time VANETs application that is a layered architecture using various existing simulators and database sensors. The architecture is designed by adding some functionalities to the existing operating system (Android OS) along with timestamps for time synchronisation to have a real time result in addition to use of some virtual machines, hardwares and emulating devices.…”

Section: B Existing Testbeds and Their Discussionmentioning

confidence: 99%

“…Designing the testbeds turns out to be favourite research area for both academia and industry. The testbeds overcome the limitation of simulators by emulating hardware components [89], [90]. In addition, the testbeds give exact user's experience and feedbacks.…”

Section: Testbeds and Their Evolutions In Iov Deploymentmentioning

confidence: 99%

“…Generally, a testbed should support the IEEE 802.11p protocol, larger packet size, more number of nodes at an instance, multihop topologies, and degraded and upgraded quality of links. Elaboration on the requirements is presented as follows [89]: in the database, which makes inserting, deleting, searching of the data easier. This data type conversion is done by the data mapping layer, which is a part of the architecture.…”

Section: A Testbed Requirementsmentioning

confidence: 99%

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Authentication Protocols in Internet of Vehicles: Taxonomy, Analysis, and Challenges

et al. 2020

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Internet of Vehicles (IoV) is treated as an extension of Vehicle-to-Vehicle (V2V) communication network. IoV helps in enhancing driving aids with the help of vehicle Artificial Intelligence (AI) awareness of other vehicles and their actions. IoV is connected in an adhoc networking environment which utilizes each vehicle in the network as a node, called Vehicular Ad Hoc Network (VANET), where the vehicles may be also connected to the public Internet. It is specifically important for the autonomous vehicles because they can instantaneously communicate with other vehicles surrounding them. In addition, safely avoiding accident prone zones is crucial in order to continue secure and smart transportation. Since the communication among various entities involved in the IoV environment is via open channel, it gives an opportunity to a passive/active adversary to intercept, modify, delete or even insert fake information during communication. It is then a serious concern for the vehicles users to determine whether the received information is genuine. In this survey paper, various security aspects, threats and attacks, network and threat models related to the IoV environment are discussed. Next, a taxonomy of security protocols is given that is essential to provide IoV data security. In particular, focus on various authentication protocols is given that is needed for mutual authentication among the involved entities in the IoV environment for secure communication. A detailed comparative analysis among various state-of-art authentication protocols proposed in the related IoV environment is provided to show their effectiveness as well as security and functionality features. Moreover, some testbeds are described that were designed and implemented for the IoV environment. In addition, some future challenges for IoV security protocols are also highlighted that are necessary to address in the future. INDEX TERMS Internet of Vehicles (IoV), vehicular adhoc networks (VANETs), authentication, batch verification, security.

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Section: B Existing Testbeds and Their Discussionmentioning

confidence: 99%

Section: Testbeds and Their Evolutions In Iov Deploymentmentioning

confidence: 99%

Section: A Testbed Requirementsmentioning

confidence: 99%

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Authentication Protocols in Internet of Vehicles: Taxonomy, Analysis, and Challenges

et al. 2020

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“…Even though representative approaches such as NS-2 and NS-3 [ 36 ] provide emulation extensions that enable the use of simulated nodes as if they were real network nodes, this emulation method can lead to unrealistic results due to the simulators’ overhead caused by the required processing of all needed information [ 37 ]. This challenge is addressed by Ahmed et al [ 38 ], who introduced a flexible VANET testbed architecture for VANET applications that tries to minimize the emulator overhead. However, since these approaches separate the mobility and network traffic simulation stages, they do not support a study of the interaction between these two stages, e.g., how the delays in communication influence the movement of the vehicles.…”

Section: Related Workmentioning

confidence: 99%

Communication Architecture in Mixed-Reality Simulations of Unmanned Systems

Martin

Faigl

Rollo

2018

Sensors

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Verification of the correct functionality of multi-vehicle systems in high-fidelity scenarios is required before any deployment of such a complex system, e.g., in missions of remote sensing or in mobile sensor networks. Mixed-reality simulations where both virtual and physical entities can coexist and interact have been shown to be beneficial for development, testing, and verification of such systems. This paper deals with the problems of designing a certain communication subsystem for such highly desirable realistic simulations. Requirements of this communication subsystem, including proper addressing, transparent routing, visibility modeling, or message management, are specified prior to designing an appropriate solution. Then, a suitable architecture of this communication subsystem is proposed together with solutions to the challenges that arise when simultaneous virtual and physical message transmissions occur. The proposed architecture can be utilized as a high-fidelity network simulator for vehicular systems with implicit mobility models that are given by real trajectories of the vehicles. The architecture has been utilized within multiple projects dealing with the development and practical deployment of multi-UAV systems, which support the architecture’s viability and advantages. The provided experimental results show the achieved similarity of the communication characteristics of the fully deployed hardware setup to the setup utilizing the proposed mixed-reality architecture.

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“…Such steps are not sufficient enough to minimize trafficnow-a-days. Hence, efficient intelligent systems are required to be implemented to control the current traffic jams in big cities, where vehicles can communicate with each other using Vehicular Ad Hoc Networks (VANETs) to overcome the congestion problem [3][4][5]. These congestion detection mechanisms implemented in an intelligent system can be categorized into two types: traffic management control unit based congestion detection and VANET based congestion detection.…”

Section: Introductionmentioning

confidence: 99%

Traffic congestion detection in a city using clustering techniques in VANETs

Mohanty¹,

Mahapatra

Bhanja

2019

IJEECS

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<p>Road traffic congestion, a serious illness in developing regions, is one of the biggest problems in our day-to-day life, resulting in delays, wastage of fuel and money. In this paper, a new model is developed using Simulation of Urban Mobility (SUMO) simulator for simulating a realistic traffic scenario for a large city like Bhubaneswar where, traffic congestion is a critical issue. In a city, traffic congestion is characterised by many parameters such as rapid growth of population, number of four wheelers, inadequate and poor road infrastructures and shortage of physical plan to govern the developments, which are focused on enhancing the volume of the roads by raising the number of lanes, over-passes, underpasses and over-bridges at many junctions. However, for the success of these master plans to fully overcome the congestion issues, it is necessary to transmit the congestion information to vehicles coming towards a congestion area by using a Vehicular Ad-hoc Network. This paper analyzes clustering techniques in Vehicular Ad-hoc Networks to detect congestion in roads with the minimal infrastructural support. The raw data from vehicles are classified using cluster analysis. Out of a number of algorithms that are used to solve the congestion detection problem, three important algorithms such as Centroid based -means, object based FCM and FKM algorithms are compared in this work on the basis of data points and number of clusters. The results of the algorithms are close to each other, but fuzzy techniques are preferable as the traffic situations are dynamic in nature.</p>

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A flexible testbed architecture for VANET

Cited by 23 publications

References 11 publications

Authentication Protocols in Internet of Vehicles: Taxonomy, Analysis, and Challenges

Authentication Protocols in Internet of Vehicles: Taxonomy, Analysis, and Challenges

Communication Architecture in Mixed-Reality Simulations of Unmanned Systems

Traffic congestion detection in a city using clustering techniques in VANETs

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