Comparative Study MANET and VANET

Chouhan, Piyush; Kaushal, Girish; Prajapati, Urmila; Polytechnic, Shree Vaishnav

doi:10.18535/ijecs/v5i4.04

Cited by 11 publications

(7 citation statements)

References 4 publications

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“…The application can also interact with the signing entity in order to evaluate the certification's validity (e.g. if it has been revoked).Except from VIN, if the vehicle is equipped with a modern Electronic License Plate (ELP) 4 , the related data could be also utilized for the same purpose.…”

Section: Vehicle Registrationmentioning

confidence: 99%

“…In this era of the 4 th Industrial revolution, Internet-of-Things (IoT) applications influence our daily activities, with the cyber-physical systems (CPS) market value reaching the 8,120 million dollars in 2021 [1]. Vehicular Ad hoc NETworks (VANETs) constitute a special type of mobile networking in this domain [2], [3], [4], [5]. They include vehicle-to-vehicle (V2V) and vehicle-toroadside infrastructure (V2I) communication for providing, among others, traffic information, navigation, safety, or other services [6], [7].…”

Section: Introductionmentioning

confidence: 99%

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MobileTrust

Hatzivasilis

Soultatos

Ioannidis³

et al. 2020

ACM Trans. Cyber-Phys. Syst.

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Vehicular Ad hoc NETworks (VANET) are becoming popular due to the emergence of the Internet of Things and ambient intelligence applications. In such networks, secure resource sharing functionality is accomplished by incorporating trust schemes. Current solutions adopt peer-to-peer technologies that can cover the large operational area. However, these systems fail to capture some inherent properties of VANETs, such as fast and ephemeral interaction, making robust trust evaluation of crowdsourcing challenging. In this article, we propose MobileTrust—a hybrid trust-based system for secure resource sharing in VANETs. The proposal is a breakthrough in centralized trust computing that utilizes cloud and upcoming 5G technologies to provide robust trust establishment with global scalability. The ad hoc communication is energy-efficient and protects the system against threats that are not countered by the current settings. To evaluate its performance and effectiveness, MobileTrust is modelled in the SUMO simulator and tested on the traffic features of the small-size German city of Eichstatt. Similar schemes are implemented in the same platform to provide a fair comparison. Moreover, MobileTrust is deployed on a typical embedded system platform and applied on a real smart car installation for monitoring traffic and road-state parameters of an urban application. The proposed system is developed under the EU-founded THREAT-ARREST project, to provide security, privacy, and trust in an intelligent and energy-aware transportation scenario, bringing closer the vision of sustainable circular economy.

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Section: Vehicle Registrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MobileTrust

Hatzivasilis

Soultatos

Ioannidis³

et al. 2020

ACM Trans. Cyber-Phys. Syst.

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“…Some authors have addressed the use of MANET protocols in VANETs and concluded that most are unsuitable for VANETs. 15,16 The main contributions toward message dissemination and channel congestion in VANETs can be divided in two main categories, reactive protocols and proactive protocols. In reactive strategies, the protocols often employ a mechanism to detect channel congestion, such as measuring channel busy ratio (CBR) 17 or vehicular density.…”

Section: Related Workmentioning

confidence: 99%

Mitigating message dissemination issues in safety applications for vehicular ad hoc networks

Farias

Lima

Bordim

2020

Concurrency and Computation

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In a vehicular ad hoc network (VANET) each node is required to transmit periodic and event-driven messages. The periodic messages are also known as beacons and consist of the basic vehicle status, such as position, speed, direction, and any additional information required by a safety application. One of the main concerns faced with this technology is channel congestion, which often happens in scenarios with a high vehicular density like traffic jams. When the channel is congested, there are no guarantees for a reliable message delivery. For this purpose, several protocols have been proposed to resolve this issue. In this work we propose neighbor congestion avoidance protocol (NCAP) as a novel solution employing a proactive strategy with vehicle position prediction using Kalman filter and an efficient event-driven message delivery scheme. When compared with other strategies in congested scenarios, NCAP was able to significantly decrease the number of beacons by 49%, while also reducing the number of event-driven message retransmissions by approximately 81%. NCAP also presented better performance in regard to the number of collisions between messages and channel busy ratio.

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“…Vehicular Ad Hoc Network (VANET) [2] is a particular mobility subclass of Mobile Ad Hoc Network (MANET). In VANETs, the infrastructure-less node moves and exchanges information like an accident, road construction, speed warning, and traffic jams to provide safety and convenience to the drivers and passengers.…”

Section: Introductionmentioning

confidence: 99%

A Visual-Identification Based Forwarding Strategy for Vehicular Named Data Networking

Ngo

Ohzahata

Yamamoto

et al. 2023

IEICE Trans. Inf. & Syst.

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Currently, NDN-based VANETs protocols have several problems with packet overhead of rebroadcasting, control packet, and the accuracy of next-hop selection due to the dynamic topology. To deal with these problems in this paper, we propose a robust and lightweight forwarding protocol in Vehicular ad-hoc Named Data Networking. The concept of our forwarding protocol is adopting a packet-free approach. A vehicle collects its neighbor's visual identification by a pair of cameras (front and rear) to assign a unique visual ID for each node. Based on these IDs, we construct a hop-by-hop FIB-based forwarding strategy effectively. Furthermore, the Face duplication [1] in the wireless environment causes an allbroadcast problem. We add the visual information to Face to distinguish the incoming and outgoing Face to prevent broadcast-storm and make FIB and PIT work more accurate and efficiently. The performance evaluation results focusing on the communication overhead show that our proposal has better results in overall network traffic costs and Interest satisfaction ratio than previous works.

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Comparative Study MANET and VANET

Cited by 11 publications

References 4 publications

MobileTrust

MobileTrust

Mitigating message dissemination issues in safety applications for vehicular ad hoc networks

A Visual-Identification Based Forwarding Strategy for Vehicular Named Data Networking

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