Providing flexible services for heterogeneous vehicles: an NFV-based approach

Zhu, Ming; Cao, Jiannong; Cai, Zixing; He, Zongjian; Xu, Ming

doi:10.1109/mnet.2016.7474346

Cited by 21 publications

(13 citation statements)

References 14 publications

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“…Preliminary studies have demonstrated the application of NFV concepts in the field of electric vehicles [50]. In this regard, our proposal can replace, complement or improve the energy management tasks traditionally performed by traffic controllers or intelligent transportation systems.…”

Section: B Energy Management Of Electric Vehiclesmentioning

confidence: 91%

NFV/SDN Enabled Architecture for Efficient Adaptive Management of Renewable and Non-Renewable Energy

Tipantuña

Hesselbach

2020

IEEE Open J. Commun. Soc.

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Ever-increasing energy consumption, the depletion of non-renewable resources, the climate impact associated with energy generation, and finite energy-production capacity are important concerns that drive the urgent creation of new solutions for energy management. In this regard, by leveraging the massive connectivity provided by emerging 5G communications, this paper proposes a long-term sustainable Demand-Response (DR) architecture for the efficient management of available energy consumption for Internet of Things (IoT) infrastructures. The proposal uses Network Functions Virtualization (NFV) and Software Defined Networking (SDN) technologies as enablers and promotes the primary use of energy from renewable sources. Associated with architecture, this paper presents a novel consumption model conditioned on availability and in which the consumers are part of the management process. To efficiently use the energy from renewable and non-renewable sources, several management strategies are herein proposed, such as prioritization of the energy supply and workload scheduling using time-shifting capabilities. The complexity of the proposal is analyzed in order to present an appropriate architectural framework. The energy management solution is modeled as an Integer Linear Programming (ILP) and, to verify the improvements in energy utilization, an algorithmic solution and its evaluation are presented. Finally, open research problems and application scenarios are discussed.

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Section: B Energy Management Of Electric Vehiclesmentioning

confidence: 91%

NFV/SDN Enabled Architecture for Efficient Adaptive Management of Renewable and Non-Renewable Energy

Tipantuña

Hesselbach

2020

IEEE Open J. Commun. Soc.

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“…In [13], the authors presented the idea of improving security of vehicular units by using virtualization and controlling the access to real hardware. A more up-to-date conception of this idea is the usage of NFV in the same OBU to create a flexible architecture that could be updated and managed remotely [14]. In this case, a proper architecture is provided to grant access to resources depending on service needs.…”

Section: Related Workmentioning

confidence: 99%

SURROGATES: Virtual OBUs to Foster 5G Vehicular Services

et al. 2019

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Virtualization technologies are key enablers of softwarized 5G networks, and their usage in the vehicular domain can provide flexibility and reliability in real deployments, where mobility and processing needs may be an issue. Next-generation vehicular services, such as the ones in the area of urban mobility and, in general, those interconnecting on-board sensors, require continuous data gathering and processing, but current architectures are stratified in two-tier solutions in which data is collected by on-board units (OBU) and sent to cloud servers. In this line, intermediate cache and processing layers are needed in order to cover quasi-ubiquitous data-gathering needs of vehicles in scenarios of smart cities/roads considering vehicles as moving sensors. The SURROGATES solution presented in this paper proposes to virtualize vehicle OBUs and create a novel Multi-Access Edge Computing (MEC) layer with the aim of offloading processing from the vehicle and serving data-access requests. This deals with potential disconnection periods of vehicles, saves radio resources when accessing the physical OBU and improves data processing performance. A proof of concept has been implemented using OpenStack and Open Source MANO to virtualize resources and gather data from in-vehicle sensors, and a final traffic monitoring service has been implemented to validate the proposal. Performance results reveal a speedup of more than 50% in the data request resolution, with consequently great savings of network resources in the wireless segment. Thus, this work opens a novel path regarding the virtualization of end-devices in the Intelligent Transportation Systems (ITS) ecosystem.

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“…NFV and SDN allow different tenants to share the same general purpose hardware and in combination these technologies can allow to build fully decoupled end-to-end networks on top of a common, shared infrastructure. The intelligent on-board system (IOS) in vehicles can be treated as a VNF resulting in open IOS design and efficient upgrades as proposed in [35].…”

Section: ) Network Functions Virtualizationmentioning

confidence: 99%

Quality of User Experience in 5G-VANET

Shahzad

Antoniou

2019

2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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The coalescence of 5G networks and vehicular ad-hoc networks (VANETs) will result in intelligent transportation and safety services and in-vehicle entertainment services. As a result, the plethora of connected devices (cars, mobile phones and other communication devices/sensors) will benefit from off-loading of network data on unlicensed bands to support network load balancing, providing guaranteed bit rate services and a reduction in control signaling, hence improving the overall user experience. In this paper we briefly discuss the enabling technologies, various communication scenarios within the 5G-VANET and the crucial user experience perspective. It should be noted that service acceptance depends heavily on user opinion formulated as per their experience. We further address the multi-layer Quality of Experience (QoE) assessment model and propose the way forward to enhance user experience within 5G-VANET. Since it is a work in progress, we discuss the importance of how and where the network performance measurements should be made and their effect on the overall user experience with future contributions in form of network simulations.

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Providing flexible services for heterogeneous vehicles: an NFV-based approach

Cited by 21 publications

References 14 publications

NFV/SDN Enabled Architecture for Efficient Adaptive Management of Renewable and Non-Renewable Energy

NFV/SDN Enabled Architecture for Efficient Adaptive Management of Renewable and Non-Renewable Energy

SURROGATES: Virtual OBUs to Foster 5G Vehicular Services

Quality of User Experience in 5G-VANET

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