A Greedy Routing Strategy Based on Euclidean Geometry for Vehicular Delay Tolerant Network

Andrade, Gil Eduardo de; Lima, Luiz Antônio Pugliesi Alves de; Calsavara, Alcides; Michelon, Gisane Aparecida; Brussamolin, Valerio

doi:10.1109/tla.2018.8447368

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Services and applications are separated from messaging. Routing protocol has become an important part of VANET research [16]. The nature of the network leads to frequent changes in the network structure and frequent interruption of communication links.…”

Section: Dtn Routing Protocol Of Vehicle Self-organizingmentioning

confidence: 99%

[Retracted] Study on DTN Routing Protocol of Vehicle Ad Hoc Network Based on Machine Learning

Liang

Shang

Wang

2021

Wireless Communications and Mobile Computing

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The vehicle-mounted self-organizing network is a part of the MANET network. It is placed between the roadside vehicle and the fixed communication equipment. It can serve as a hub for road vehicles and can enable multihorsepower wireless mechanisms to exchange data between vehicles. This article is aimed at studying the DTN routing protocol based on machine learning in the vehicle self-organizing network. When data is forwarded, the node will determine the forwarding route selection according to its own coordinate information, the coordinate information of neighboring nodes, and the coordinate information of the destination node. Usually, the purpose is for the geographic coordinates of the node to be stored in the data packet. And data packets are periodically transmitted between nodes on each network. So that when you publish your own coordinate nodes, you can update the location information of nearby nodes at any time. This paper proposes that routing technology has become one of the most important challenges in vehicle self-organization, and there are many reasons for this. These reasons include frequent changes in the network topology and fast-moving mobile nodes. The experimental results in this paper show that more than 67% of the network data is obtained through the Gawk data extraction tool to quantify GPSR performance indicators and obtain the average driving speed of the current vehicle node. When increasing, the average end-to-end transmission delay of the GPSR routing protocol increases, and the average transmission rate decreases.

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Section: Dtn Routing Protocol Of Vehicle Self-organizingmentioning

confidence: 99%

[Retracted] Study on DTN Routing Protocol of Vehicle Ad Hoc Network Based on Machine Learning

Liang

Shang

Wang

2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

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“…This algorithm also improves the performance of forwarding messages. Andrade et al 25 proposed a greedy DTN routing strategy based on Euclidean Geometry (GREG) in VDTNs. Based on the predicted node position through a mathematical model, GREG computes the Euclidean geometrical distance between the node currently holding the message and the destination node.…”

Section: Related Workmentioning

confidence: 99%

An adaptive and secure traffic information forwarding mechanism in Internet of Vehicles

Fan

Duan

et al. 2020

Int J Communication

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SummaryTraffic information of disparate types in Internet of Vehicles (IoV) is the basis for supporting various IoV applications. Since traffic flows vary in real time, it is challenging to carry out efficient and reliable transfer of such information. Moreover, IoV is vulnerable to security threats due to its inherent properties such as dynamically changing topology and high‐speed motion of vehicles. Attacks, once launched successfully, would also disrupt message transmission between vehicles. We propose an adaptive traffic information forwarding mechanism, which divides traffic information in two categories, that is, early warning information and service information. The former is handled by selecting a relay node based on node connection stability evaluation, while the latter is handled by adopting an appropriate forwarding method according to the identified traffic flow density. Specifically, in a low‐density environment, we employ a broadcast method; while in a high‐density environment, we evaluate the cognitive interaction values of vehicle nodes and employ a cognitive interaction‐based method to select a relay node. Simulation results show that the proposed mechanism improves the forwarding efficiency of traffic information and yields satisfactory performance in mitigating black hole attacks.

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Euclidean-Geometry-Based Space-Time Block Coded Spatial Modulation

Jiang

Hai

Hou

et al. 2019

IEEE J. Sel. Top. Signal Process.

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A Greedy Routing Strategy Based on Euclidean Geometry for Vehicular Delay Tolerant Network

Cited by 4 publications

References 16 publications

[Retracted] Study on DTN Routing Protocol of Vehicle Ad Hoc Network Based on Machine Learning

[Retracted] Study on DTN Routing Protocol of Vehicle Ad Hoc Network Based on Machine Learning

An adaptive and secure traffic information forwarding mechanism in Internet of Vehicles

Euclidean-Geometry-Based Space-Time Block Coded Spatial Modulation

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