Improving Latency and Reliability for Vehicle System Under Fog Computing Networks

Chiang, Mao-Lun; Lin, Yuan; Hsieh, Hsing‐Pang; Tsai, W.C.

doi:10.1007/978-3-030-03745-1_28

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…Chiang et al [19] suggested an agreement-based technique for verifying the accuracy and stability of the vehicular information system within a fog computing network to minimize latency and assure the validity of the vehicular network system. Palattella et al [20] describe a fog-assisted architecture for seamless handover.…”

Section: Related Workmentioning

confidence: 99%

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

et al. 2022

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Connected vehicles are a vital part of smart cities, which connect over a wireless connection and bring mobile computation and communication abilities. As a mediator, fog computing resides between vehicles and the cloud and provides vehicles with processing, storage, and networking power through Vehicular Ad-hoc networks (VANET). VANET is a time-sensitive technology that requires less time to process a request received from a vehicle. Delay and latency are the notorious issues of VANET and fog computing. To deal with such problems, in this work, we developed a priority-based fog computing model for smart urban vehicle transportation that reduces the delay and latency of fog computing. To upgrade the fog computing infrastructure to meet the latency and Quality of Service (QoS) requirements, 5G localized Multi-Access Edge Computing (MEC) servers have also been used, which resulted tremendously in reducing the delay and the latency. We decreased the data latency by 20% compared to the experiment carried using only cloud computing architecture. We also reduced the processing delay by 35% compared with the utilization of cloud computing architecture.

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Section: Related Workmentioning

confidence: 99%

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

et al. 2022

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A Way to Design Fog Computing Model For 5G Network using Vanet

Maruthamuthu,

Patel,

Yawanikha

et al. 2024

2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

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Vehicular Cloud and Fog Computing Architecture, Applications, Services, and Challenges

Gaba¹,

Raw²

2020

IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks

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VANET, a type of MANET, connects vehicles to provide safety and non-safety features to the drivers and passengers by exchanging valuable data. As vehicles on road are increasing to handle such data cloud computing, functionality is merged with vehicles known as Vehicular Cloud Computing(VCC) to serve VANET with computation, storage, and networking functionalities. But Cloud, a centralized server, does not fit well for vehicles needing high-speed processing, low latency, and more security. To overcome these limitations of Cloud, Fog computing was evolved, extending the functionality of cloud computing model to the edge of the network. This works well for real time applications that need fast response, saves network bandwidth, and is a reliable, secure solution. An application of Fog is with vehicles known as Vehicular Fog Computing (VFC). This chapter discusses cloud computing technique and its benefits and drawbacks, detailed comparison between VCC and VFC, applications of Fog Computing, its security, and forensic challenges.

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Improving Latency and Reliability for Vehicle System Under Fog Computing Networks

Cited by 3 publications

References 16 publications

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

A Way to Design Fog Computing Model For 5G Network using Vanet

Vehicular Cloud and Fog Computing Architecture, Applications, Services, and Challenges

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