A MEC architecture for a better quality of service in an Autonomous Vehicular Network

Sindjoung, Miguel Landry Foko; Velempini, Mthulisi; Bomgni, Alain Bertrand

doi:10.1016/j.comnet.2022.109454

Cited by 13 publications

(8 citation statements)

References 19 publications

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“…The MEC server resources are effectively managed in this study using a combination of SDN, NFV, SFC, and NS technologies, resulting in improved QoS in VANET. For vehicle queries running on edge/cloud servers, the proposed MEC architecture combines these technologies to manage bandwidth, processing, and storage resources, resulting in minimal end-to-end latency [106].…”

Section: Description Technologiesmentioning

confidence: 99%

The potential of SDNs and multihoming in VANETs: A Comprehensive Survey

Sarpong,

Sousa,

Araújo

2024

Preprint

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Vehicle Ad-hoc Networks (VANETs) plays an essential role in enhancing safety, passenger services, and traffic management. VANETs often suffer from reliability issues and delays due to their dynamics. Multihoming, where vehicles communicate over multiple networks, is a possible approach to mitigate these problems. In this paper, we present a comprehensive survey exploring the integration of multihoming with Software-Defined Networking (SDN), Programming Protocol-independent Packet Processors (P4), and Service Function Chaining (SFC) in VANETs, a set of technologies that play an important role in modern computer networks. To select the papers to be analyzed in our survey, we used a four-stage process, starting on keyword searching and consisting of multiple filtering and a final grouping step. This process resulted in 300 research papers from 2009 to 2023. Our analysis revealed the importance of routing techniques tailored for dynamic VANET environments, highlighting the critical challenge of delays resulting from intermittent connectivity and rapid topology changes. To the best of our knowledge, available literature does not consider the integration of SDNs, P4, and SFC to improve connectivity in VANETs: some SDN applications include VANETs support but previous research tends to consider the use of P4 and SFC within data center contexts and security applications. Since P4 can simplify traffic management, SFC can help supporting services and policies, and technologies like MultiRadio Access Technologies (M-RAT) can enable multihoming, the possibility of using SDNs with these technologies to support multihoming in VANET lays the foundation for future progress in vehicular communication systems. This approach shows potential for new developments and challenges, taking into account future trends and directions.

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Section: Description Technologiesmentioning

confidence: 99%

The potential of SDNs and multihoming in VANETs: A Comprehensive Survey

Sarpong,

Sousa,

Araújo

2024

Preprint

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“…However, the Quality of Service (QoS) remains a critical issue in MEC scenarios, involving the employment of mechanisms or technologies within a network to regulate traffic and ensure optimal performance for essential applications when network resources are limited. Moreover, in [15], notable contributions were made to enhancing QoS within the context of MEC by integrating SDN, NFV, SFC, and NS technologies to efficiently oversee MEC server resources, ensuring reliable QoS requirements for AVNET are met. Additionally, in [16], a method aimed at improving both data privacy and security to enhance the Quality of Experience (QoE) within a MEC environment was introduced.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, in [15], notable contributions were made to enhancing QoS within the context of MEC by integrating SDN, NFV, SFC, and NS technologies to efficiently oversee MEC server resources, ensuring reliable QoS requirements for AVNET are met. Additionally, in [16], a method aimed at improving both data privacy and security to enhance the Quality of Experience (QoE) within a MEC environment was introduced. The key contribution of this work is the proposal of a hybrid cryptography system, combining both symmetric and asymmetric cryptography techniques, to enhance data security, privacy, and user authentication within a MEC-based network.…”

Section: Related Workmentioning

confidence: 99%

“…The key contribution of this work is the proposal of a hybrid cryptography system, combining both symmetric and asymmetric cryptography techniques, to enhance data security, privacy, and user authentication within a MEC-based network. Notably, none of the previously mentioned solutions ( [7], [15], [16]) address the dual aspects of improving QoS and enhancing user interaction with the MEC computing server within the deceptive framework. To the best of our knowledge, this pioneering work comprehensively addresses both these facets simultaneously.…”

Section: Related Workmentioning

confidence: 99%

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Improving Quality of Service and HTTPS DDoS Detection in MEC Environment With a Cyber Deception-Based Architecture

Kabdjou,

Shinomiya

2024

IEEE Access

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Creating a cyber deception framework for 5G networks, particularly in IoT and cellular applications, is complex due to critical constraints in managing resources, meeting low latency demands, and addressing security concerns. While cloud computing aids in alleviating some limitations, it often falls short in meeting low-latency requirements. Multi-Access Edge Computing (MEC) has emerged as a solution by bringing resources closer to User Equipment (UEs) to reduce latency. Various MEC architectures have leveraged Software Defined Networking (SDN), Network Function Virtualization (NFV), Service Function Chaining (SFC), Network Slicing (NS), decision-making systems, and deception components. However, none have integrated these technologies comprehensively to achieve superior Quality of Service (QoS) and strengthen security. In this paper, we unify SDN, NFV, SFC, NS, decision-making technologies, and deception to efficiently manage MEC server resources and lure attackers. We utilize cyber deception metrics, including request collection rates over time and variations in request numbers concerning different botnet sizes. Moreover, we meticulously address QoS parameters such as latency, computing, storage, and bandwidth resources. Our approach initiates with a mathematical model for MEC server resource allocation, introducing a novel architecture that reduces bandwidth, computing, and storage resource usage. We introduce a cyber deception strategy utilizing uniform distribution and random selection to divert potential attackers. Simulations validate efficient resource management, notably reducing end-to-end latency for requests processed on the edge and in the cloud. This enhancement improves QoS within the MEC system and provides valuable insights for advancing decision-making technologies.

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“…Citation information: Mohammed Salah Abood, Hua Wang, Dongxwan He, Ziqi Kang, Agnes Kawoya, Intelligent Network Slicing in V2X Networks -A Comprehensive Review, Journal of Artificial Intelligence and Technology (2023), DOI: https://doi.org/10.37965/jait.2023.0208 2 At present, the V2X networks comprise two types of technologies: the vehicular networks based on Dedicated Short-Range Communication (DSRC), which is founded on IEEE 802.11p and IEEE 1609.1.4 standards, and those based on the vehicular cellular networks such as LTE [7]. Dedicated Short-Range Communication has long been seen as the only V2X technology; nevertheless, identifying the associated limitations and drawbacks, including the coverage, latency, and insufficient throughput and data rate, made the development of advanced and more sophisticated networks inevitable [8]. The higher throughput and data rates enable the development of Heterogeneous Networks (HetNets) that allow large coverage cells (LTE-Macro cells) as well as small coverage cells (direct link communication DSRC).…”

Section: Introductionmentioning

confidence: 99%

Intelligent Network Slicing in V2X Networks – A Comprehensive Review

Abood

Wang

et al. 2023

JAIT

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ABSTRACT- The rise of the internet of things (IoT) and autonomous systems has made connecting vehicles more critical. Connected autonomous vehicles can create diverse communication networks that can improve the environment and offer contemporary applications. With the advent of 5G networks, vehicle-to-everything (V2X) networks are expected to be highly intelligent, reside on superfast, reliable, and low-latency connections. Network slicing, Machine Learning (ML), and Deep Learning (DL) are related to network automation and optimization in V2X communication. Machine Learning and Deep Learning (ML/DL) with network slicing aims to optimize the performance, reliability of the V2X network, personalized services, reduced costs, and scalability and enhance the overall driving experience. These advantages can ultimately lead to a safer and more efficient transportation system. However, existing Long-Term Evolution (LTE) systems and enabling 5G technologies cannot meet such dynamic requirements without adding higher complexity levels. Machine learning algorithms mitigate complexity levels, which can be highly instrumental in such vehicular communication systems. This study aims to review V2X slicing based on a proposed taxonomy that describes the enablers of slicing, a different configuration of slicing, the requirements of slicing, and the ML algorithm used to control and manage to slice. This study also reviews various research works established in network slicing through ML algorithms to enable V2X communication use cases, focusing on V2X network slicing and considering efficient control and management. The enabler technologies are considered in light of the network requirements, particular configurations, and the underlying methods and algorithms, with a review of some critical challenges and possible solutions available. The paper concludes with a future roadmap by discussing some open research issues and future directions.

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A MEC architecture for a better quality of service in an Autonomous Vehicular Network

Cited by 13 publications

References 19 publications

The potential of SDNs and multihoming in VANETs: A Comprehensive Survey

The potential of SDNs and multihoming in VANETs: A Comprehensive Survey

Improving Quality of Service and HTTPS DDoS Detection in MEC Environment With a Cyber Deception-Based Architecture

Intelligent Network Slicing in V2X Networks – A Comprehensive Review

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