Fog computing as the key for seamless connectivity handover in future vehicular networks

Palattella, Maria Rita; Soua, Ridha; Khelil, Abdelmajid; Engel, Thomas

doi:10.1145/3297280.3297475

Cited by 24 publications

(7 citation statements)

References 25 publications

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“…A fog-aided architecture for seamless handover was proposed by [31]; the proposed architecture includes a general integration of all types of mobile devices and networks and assists Vehicle-to-Everything (V2X) distributed applications by responding to their latency minimization related needs, data privacy and security critical network related requirements. The proposed architecture is leveraged on 5G architecture, along with SDN and NFV to achieve proactive, context-aware, and secure handover mechanisms.…”

Section: Fog Architecture-based Solutions For Seamless Handovermentioning

confidence: 99%

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Seamless communication techniques in mobile cloud computing: A survey

Constant¹,

Lee²,

Suo³

et al. 2021

ITU-J FET

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Achieving seamless communication and smooth service provision between the cloud and end user's mobile device is one of the main challenges existing in mobile cloud environments. Mobile Cloud Computing (MCC) allows cloud environments to mitigate resource limitation problems for mobile devices. The most popular mobile devices such as smartphones, autonomous vehicles, drones, and other smart electronic equipment are in constant motion and frequently change their point of connection (base station or edge) to mobile computing networks. In these situations of mobility, the data being transmitted, and the services being provided to the device should not be interrupted as the proper function of the device depends on these services. Applications that rely heavily on data and services stored in the cloud environment should be available even when the device has moved from one pole to another. Various existing generic surveys emphasize important solutions to some of the challenges faced in MCC. Different solutions were proposed to achieve seamless communication in MCC, presenting the taxonomy of the interworking and mobility techniques and their possibilities. However, they have not provided a clear evaluation of MCC techniques for achieving seamless communication and service provision, and have not taken into consideration current technological advances such as 5G, femtocell, etc. In this paper, we provide a survey of the different solutions proposed to achieve seamless communication in MCC by taking current technological advances into account. Furthermore, some shortcomings associated with the presented methods are outlined, along with the current issues and research challenges faced in MCC. However, for the purposes of data protection and security, previously proposed schemes already achieve the goal of protecting users' attribute privacy and they have the same access policy; some can even achieve full security, but they are just limited in decryption efficiency.

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Section: Fog Architecture-based Solutions For Seamless Handovermentioning

confidence: 99%

“…Seamless handover & service provision [28,29,30,31,32] Technique Vehicular Computing, V2X, FVC, Edge Selection, etc.…”

Section: Proposed Approach Analysis Summary Shortcomingmentioning

confidence: 99%

Seamless communication techniques in mobile cloud computing: A survey

Constant¹,

Lee²,

Suo³

et al. 2021

ITU-J FET

View full text Add to dashboard Cite

show abstract

“…To overcome shortcomings during the handover process for time-sensitive applications, the benefits of fog computing, network virtualization capabilities, and SDN programming are used to create an architecture that allows planning handovers with travel information and providing scalable solutions [7]. In [9], a fog computing solution is proposed for supporting vehicular applications and decision making.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Controller Instantiation in MEC-NFV based Software Defined Internet of Vehicles

Sabino¹,

Simões²,

Dias³

2020

Anais Estendidos Do X Simpósio Brasileiro De Engenharia De Sistemas Computacionais (SBESC Estendido 2020)

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Softwarization of vehicular networks has been a fundamental approach to deal with its dynamic topology along with requirements of scalability and flexible resource management in order to deploy future Internet of Vehicles (IoV). Despite Software-defined Vehicular Networks (SDVN) has gained momentum in industry and academia to tackle the aforementioned issues, some requirements such as on-demand allocation of network functions and scalability support are not yet satisfactorily addressed in current proposals. Even scalable solutions based on distributed and hierarchical SDN controllers are commonly deployed statically before the network operation. With the advent of network functions virtualization (NFV), it is expected that IoV will benefit from a standard architecture for dynamic instantiating of SDN controllers to provide an efficient solution for IoV management. This article proposes and evaluates a flexible and dynamic solution for the management of IoV through the synergy between SDN and NFV paradigms in order to provide on-demand instantiation of SDN controllers, as well as meet QoS requirements. The results demonstrate the effectiveness of the proposal in supporting the increasing demand for connected vehicles, reduction in packet loss, jitter control, and avoiding processing overhead when compared to the performance of traditional architecture.

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“…There are several research studies that successfully integrated the emerging fog and mobile edge computing paradigms in an IoT context, resulting in reducing response times and energy consumption e.g. [9], [10], [11], [12].…”

Section: Introductionmentioning

confidence: 99%

An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System

Mijuskovic

Bemthuis

Aldea

et al. 2020

2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)

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Followed by the introduction of IoT and new sustainable technologies, energy management, Quality of Service and decrease of communication costs become important and complex for enterprise systems at airports. The aviation authorities' reports reveal that the airport ICT investments are mainly focused on travel safety, mobile commerce, and new technologies. The main idea behind a smart airport is to deploy IoT network managed through a Cloud-Fog-Edge paradigm for a smart platform and optimize the airport's efficiency. An IoT cloud-based platform solution supports multiple types of data, advanced analytics, artificial intelligence, and machine learning techniques. However, cloud computing has certain limitations such as increased delay in data reporting, increased latency in accessing user network, limited customization, increased reliance on external network and data privacy. Fog-Cloud and Edge-Cloud paradigms can overcome the weaknesses of cloud computing architectures. Therefore, to understand the organizational impact of combining the usage of cloud, fog, and edge computing, we created an enterprise architecture that can be applied in a smart airport demonstration study. The enterprise architecture modelling was done by using ArchiMate and validated by means of an expert assessment and prototype implementation.

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Fog computing as the key for seamless connectivity handover in future vehicular networks

Cited by 24 publications

References 25 publications

Seamless communication techniques in mobile cloud computing: A survey

Seamless communication techniques in mobile cloud computing: A survey

Dynamic Controller Instantiation in MEC-NFV based Software Defined Internet of Vehicles

An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System

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