A Terminal-Oriented Distributed Traffic Flow Splitting Strategy for Multi-Service of V2X Networks

Ding, Fei; Ma, Zitong; Li, Zhiliang; Su, Ruoyu; Zhang, Dengyin; Zhu, Hongbo

doi:10.3390/electronics8060644

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…One drawback of MCDM methods is the lack of priority consideration in the selection process, where all criteria have the same level of priority; designing a multi-objective optimization algorithm is a solution that solves this drawback. The first objective considers the maximization of throughput or QoS of the network, and the second objective deal with the priority issue such the work of [37].…”

Section: Multi-rats Selectionmentioning

confidence: 99%

Service-Oriented LSTM Multi-Criteria RAT Selection Scheme for Vehicle-to-Infrastructure Communication

2022

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The evolution towards future Intelligent Transportation Systems (ITS) is significantly influenced by enabling telematics and safety services for vehicular use-cases, especially for autonomous driving. These vehicular use-cases have their own network requirements, with a variety of instantaneous requirements and dynamic characterizations that make delivering data via a single Radio Access Technology (RAT) severely challenging. By utilizing current and future network context and vehicular use-case requirements, the RAT selection scheme must select the optimum network that guarantees the continuity and high throughput data transfer. Moreover, the consideration of on-time stochastic queue backlog of all use-cases in each RATs, while maximizing throughput is important for a reliable vehicular use-case deployment. In this paper, we developed a Service-Oriented Joint LSTM Multi-Criteria (SOLMC) RAT selection scheme for Vehicle-to-Infrastructure (V2I) networks. The objective of this scheme is to maximize the overall network throughput while reducing the current stochastic queue backlog in deployed RATs. LSTM prediction technique is used as a network filter process that rejects the worst channel quality before the initialization RAT selection scheme. Transmission capacity, connectivity time, data delivery cost, and queue backlog are the decision criteria in our proposed SOLMC RAT scheme. In particular, to characterize the importance of these criteria factors, we construct Analytical Hierarchy Process (AHP) for each use-case. Extensive simulations are carried out under different network context conditions. The results demonstrate that the SOLMC scheme can significantly achieve up to 47.5% network throughput maximization and 20.42% packet delivery ratio improvement, using lower queue length compared to nearest-RAT-based selection. In addition, implementing LSTM in SOLMC improves the total average throughput by up to 3.1% and 6% packet delivery ratio.

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Section: Multi-rats Selectionmentioning

confidence: 99%

Service-Oriented LSTM Multi-Criteria RAT Selection Scheme for Vehicle-to-Infrastructure Communication

2022

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“…Infrastructure elements are often used as service providers and vehicles as consumers, except in the CVIS project, where these roles are not defined. This topic has been studied and funded since a few years ago, but it is still a very current topic with high interest from the scientific community, as evidenced by the recent journal papers [64][65][66] and new versions of the ITS-G5 standard [67] produced by ETSI (European Telecommunications Standards Institute) Technical Committee ITS. CVIS, COOPERS, and SAFESPOT projects took place about 10 years ago; however, many scientific contributions have been made since.…”

Section: Related Workmentioning

confidence: 99%

NOVA Mobility Assistive System: Developed and Remotely Controlled with IOPT-Tools

et al. 2020

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In this paper, a Mobility Assistive System (NOVA-MAS) and a model-driven development approach are proposed to support the acquisition and analysis of data, infrastructures control, and dissemination of information along public roads. A literature review showed that the work related to mobility assistance of pedestrians in wheelchairs has a gap in ensuring their safety on road. The problem is that pedestrians in wheelchairs and scooters often do not enjoy adequate and safe lanes for their circulation on public roads, having to travel sometimes side by side with vehicles and cars moving at high speed. With NOVA-MAS, city infrastructures can obtain information regarding the environment and provide it to their users/vehicles, increasing road safety in an inclusive way, contributing to the decrease of the accidents of pedestrians in wheelchairs. NOVA-MAS not only supports information dissemination, but also data acquisition from sensors and infrastructures control, such as traffic light signs. For that, it proposed a development approach that supports the acquisition of data from the environment and its control while using a tool framework, named IOPT-Tools (Input-Output Place-Transition Tools). IOPT-Tools support controllers’ specification, validation, and implementation, with remote operation capabilities. The infrastructures’ controllers are specified through IOPT Petri net models, which are then simulated using computational tools and verified using state-space-based model-checking tools. In addition, an automatic code generator tool generates the C code, which supports the controllers’ implementation, avoiding manual codification errors. A set of prototypes were developed and tested to validate and conclude on the feasibility of the proposals.

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“…Multiple virtual machine placement algorithms are proposed to save energy and costs. In [10], a new traffic flow splitting model is proposed for 5G vehicle networking terminals. The proposed strategy jointly optimizes delay and cost and provides efficient splitting of services in 5G vehicle to X (V2X) networks.…”

Section: Overview Of Papers Published In Current Issuementioning

confidence: 99%

Green Communications in Smart Cities

2019

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A Terminal-Oriented Distributed Traffic Flow Splitting Strategy for Multi-Service of V2X Networks

Cited by 6 publications

References 27 publications

Service-Oriented LSTM Multi-Criteria RAT Selection Scheme for Vehicle-to-Infrastructure Communication

Service-Oriented LSTM Multi-Criteria RAT Selection Scheme for Vehicle-to-Infrastructure Communication

NOVA Mobility Assistive System: Developed and Remotely Controlled with IOPT-Tools

Green Communications in Smart Cities

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