Improving QoS in VANET Using MPLS

GholamalitabarFirouzjaee, Saeed; Raahemifar, Kaamran

doi:10.1016/j.procs.2012.06.141

Cited by 18 publications

(12 citation statements)

References 9 publications

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“…In this work, we used UDP as it is widely used in VANET owing to its ability to rapidly transport data compared to TCP. 55 Two types of UDP applications were used in this work: the first one is UDP Basic App and the second one is the UDP sink. UDP Basic App sends UDP packets to the given IP addresses in each time interval where the IP address could be a Wireless Local Area Network (WLAN) or a node IP.…”

Section: Simulation Work For Generating the Datasetmentioning

confidence: 99%

A simulation work for generating a novel dataset to detect distributed denial of service attacks on Vehicular Ad hoc NETwork systems

Alhaidari

Alrehan

2021

International Journal of Distributed Sensor Networks

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Vehicular Ad hoc NETwork is a promising technology providing important facilities for modern transportation systems. It has garnered much interest from researchers studying the mitigation of attacks including distributed denial of service attacks. Machine learning techniques, which mainly rely on the quality of the datasets used, play a role in detecting many attacks with a high level of accuracy. We conducted a comprehensive literature review and found many limitations on the datasets available for distributed denial of service attacks on Vehicular Ad hoc NETwork including the following: unavailability of online versions, an absence of distributed denial of service traffic, unrepresentative of Vehicular Ad hoc NETwork, and no information regarding the network configurations. Therefore, in this article, we proposed a novel simulation technique to generate a valid dataset called Vehicular Ad hoc NETwork distributed denial of service dataset, which is dedicated to Vehicular Ad hoc NETworks. Vehicular Ad hoc NETwork distributed denial of service dataset holds information on distributed denial of service attack traffic considering Vehicular Ad hoc NETwork architecture, traffic density, attack intensity, and nodes mobility. Well-known simulation tools such as SUMO, OMNeT++, Veins, and INET were used to ensure that all the properties of Vehicular Ad hoc NETwork have been captured. We then compared Vehicular Ad hoc NETwork distributed denial of service dataset with several studies to prove its novelty and evaluated the dataset using several machine learning models. We confirmed that studied models using this dataset achieved high accuracy above 99.5% except support-vector machine that achieved 97.3%.

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Section: Simulation Work For Generating the Datasetmentioning

confidence: 99%

A simulation work for generating a novel dataset to detect distributed denial of service attacks on Vehicular Ad hoc NETwork systems

Alhaidari

Alrehan

2021

International Journal of Distributed Sensor Networks

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“…MPLS allows tunnel routing known as label switched paths (LSP), where a tunnel is characterized by a path in the network and by a reserved bandwidth [20], [21]. This protocol belongs to layer 2.5 in the open systems interconnection (OSI) model [22]. It improves both layers 2 and 3 by providing fast switching and reliable routing.…”

Section: Tag-qos Switching Protocolmentioning

confidence: 99%

Robot Local Network Using TQS Protocol for Land-to-Underwater Communications

Irawan¹,

Abas²,

Nurulfadzilah³

2019

JTIT

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This paper presents a model and an analysis of the Tag QoS switching (TQS) protocol proposed for heterogeneous robots operating in different environments. Collaborative control is topic that is widely discussed in multirobot task allocation (MRTA) -an area which includes establishing network communication between each of the connected robots. Therefore, this research focuses on classifying, prioritizing and analyzing performance of the robot local network (RLN) model which comprises a point-to-point topology network between robot peers (nodes) in the air, on land, and under water. The proposed TQS protocol was inspired by multiprotocol label switching (MPLS), achieving a quality of service (QoS) where swapping and labeling operations involving the data packet header were applied. The OMNET++ discrete event simulator was used to analyze the percentage of losses, average access delay, and throughput of the transmitted data in different classes of service (CoS), in a line of transmission between underwater and land environments. The results show that inferior data transmission performance has the lowest priority with low bitrates and extremely high data packet loss rates when the network traffic was busy. On the other hand, simulation results for the highest CoS data forwarding show that its performance was not affected by different data transmission rates characterizing different mediums and environments.

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“…Multiprotocol label switching allows tunnel routing called label switched paths (LSP), where the tunnel is characterized by a path in the network and a reserved bandwidth . This protocol is considered in layer 2.5, which improves layers 2 and 3 by providing fast switching and reliable routing, respectively . Furthermore, this protocol is commonly used in IP network as an extra header that involved internet service provider area .…”

Section: Switching and Routing Protocols Overviewmentioning

confidence: 99%

“…20,21 This protocol is considered in layer 2.5, which improves layers 2 and 3 by providing fast switching and reliable routing, respectively. 22 Furthermore, this protocol is commonly used in IP network as an extra header that involved internet service provider area. 23,24 However, the dynamic tagging and stacking methods in MPLS has the potential to be applied and deployed in other small-scale internetworking and data communication, such as internal and small network topologies.…”

Section: Switching and Routing Protocols Overviewmentioning

confidence: 99%

Label‐QoS switching protocol for quality of service assurance in dynamic swarm robot local network

Irawan

Jusoh

Abas

2018

Int J Communication

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Summary This paper presents the modeling and analysis of a proposed label–quality of service (QoS) switching protocol for heterogeneous robot in a swarm. Establishing the data communication and network in multirobot task allocation is an important aspect in robot collaboration. Instead of passing the data through the cloud network, each robot can be configured as a node in its swarm for intercommunication. This research was conducted to model and propose aggregation and classification methods in a swarm robot network inspired from multiprotocol label switching, namely, label‐QoS switching protocol. Each packet of data is forwarded with a proposed 2‐side label values that are concerned with addressing and QoS. This proposed protocol was applied in each of the node's routing, and it was set up with forwarding information table. The simulation and analysis were conducted in 2 situations: (1) with a constant n–label switch mobile robot and a number of packet data increasing with time and (2) with a constant number of packet and varying n–label switch mobile robot by time. With reference to the network parameter performances, it shows that the anomaly treatment by the proposed protocol is able to prioritize the data forwarding between the robots at the edge of the swarm with class of service although the robot community at the center is increasing or getting crowded.

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Improving QoS in VANET Using MPLS

Cited by 18 publications

References 9 publications

A simulation work for generating a novel dataset to detect distributed denial of service attacks on Vehicular Ad hoc NETwork systems

A simulation work for generating a novel dataset to detect distributed denial of service attacks on Vehicular Ad hoc NETwork systems

Robot Local Network Using TQS Protocol for Land-to-Underwater Communications

Label‐QoS switching protocol for quality of service assurance in dynamic swarm robot local network

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