QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog Computing

Syed, Sidra Abid; Rashid, Munaf; Amir, Samreen; Azim, Fahad; Zahid, Hina; Umer, Asif; Waheed, Abdul; Zareei, Mahdi; Vargas-Rosales, César

doi:10.3390/s22010401

Cited by 14 publications

(12 citation statements)

References 32 publications

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“…Normally, the principles and action reasons of IoT communication must include provisions for safety. However, foggy conditions should aid in the creation of such regulations [27], [28].…”

Section: Securitymentioning

confidence: 99%

The fog computing for internet of things: review, characteristics and challenges, and open issues

Al-Shareeda,

Alsadhan,

H. Qasim

et al. 2024

Bulletin EEI

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The internet of things (IoT) research envisions a world in which common place objects are linked to the internet and trade, store, process, and gather data from their surroundings. Due to their inherent resource limitations, IoT devices are typically unable to directly host application services, despite their increasing importance for facilitating the supply of data to enable electronic services. Since it can survive and work in tandem with centralized cloud systems and extends the latter toward the network edge, fog computing (FC) may be an appropriate paradigm to get around these restrictions. This paper reviews the overview of the IoT in terms of application and design parameters and FC. Meanwhile, this paper presents the architecture of fog computing for IoT (FC-IoT) in terms of communication, security, data quality, sensing and actuation management, codification, analysis, and decision-making. Additionally, this review provides several characteristics and challenges of FC-IoT. Finally, open issues for this paper have been discussed.

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“…Normally, the principles and action reasons of IoT communication must include provisions for safety. However, foggy conditions should aid in the creation of such regulations [27], [28].…”

Section: Securitymentioning

confidence: 99%

The fog computing for internet of things: review, characteristics and challenges, and open issues

Al-Shareeda,

Alsadhan,

H. Qasim

et al. 2024

Bulletin EEI

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“…In [14], [15], [16], various scenarios of vehicular networks were simulated from distinct perspectives. In [14], researchers proposed a technique to enhance the quality of service (QoS) in vehicular ad hoc networks (VANETs) through content dissemination.…”

Section: Big Data Simulatorsmentioning

confidence: 99%

“…Through rigorous CloudSim simulations and evaluations, the authors substantiated the advantages of their approach in enhancing the QoS in VANETs, thereby facilitating more efficient and reliable communication among vehicles. In their investigation [15], the authors explored the application of cloud-fog computing in softwaredefined vehicular networks (SDVNs) and presented a QoS-aware and fault-tolerant approach to enhance their performance and reliability. They provided insights into the design and implementation of their proposed framework, highlighting its dynamic adaptability to changing network conditions and efficient resource allocation.…”

Section: Big Data Simulatorsmentioning

confidence: 99%

Evaluation and Challenges of IoT Simulators for Intelligent Transportation System Applications

Khattak,

Khan

2023

Sci. Eng. Technol.

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The Internet-of-Things (IoT) constructs a vast, intricate, and perpetually evolving ecosystem exerting profound societal implications. This labyrinthine nature often culminates in errors that directly impact human lives. A significant domain where this complexity materializes is Intelligent Transportation Systems (ITS). Present tools and methodologies inadequately accommodate the complex task of testing and validation, underscoring the urgency for comprehensive review and enhancement. This study aims to present a broad analysis of existing simulators utilized for ITS simulations. It delves into the role and effectiveness of such simulation tools, highlighting their limitations and proposing research directions. This paper scrutinizes both commercial and research-oriented IoT simulators for ITS, evaluating their features and simulation environment tools. We have detailed various ITS scenarios simulated within these frameworks, intending to gauge their readiness for real-world ITS applications and to elaborate on the challenges involved in ITS infrastructure implementation. The findings suggest that despite numerous simulators aiding the evolution of solutions for IoT challenges in recent years, their utility in actual ITS implementations remain uncertain. Consequently, we explore public cloud platforms offering IoT simulation capabilities, focusing particularly on the capabilities provided by the Amazon Web Services (AWS) IoT simulation for this study. Our research outlines the pressing challenges in this field, while proposing potential solutions and flagging opportunities for further research. This study paves the way towards improving the reliability and accuracy of IoT simulators in the context of ITS, which has immense potential to enhance the quality of human life.

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“…Fault tolerance method is also not used by this model to increase network performance. In [53]the authors proposed a QoS aware and fault tolerance based software-defined vehicular ad-hoc network using Cloud-Fog computing to maximize the response time by dividing the message into safety and nonsafety category. This model also used fog computing to reduce computation load of the cloud server.…”

Section: Related Workmentioning

confidence: 99%

“…With the observation of the proposed model in the literature review [5][16] [52][54] [53][55] they used the cloud infrastructure for data execution and storage, which has the following limitations: The limitations are also shown in figure 1. [53] have not used any security, [54] have not used any fault tolerance method to overcome the problem when the message is not delivered to the destination. Due to the absence of a fault-tolerant mechanism, system efficiency may be reduced.…”

Section: A Problem Formulationmentioning

confidence: 99%

A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

et al. 2022

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A software-defined vehicular network is made up of an IoT (Internet of Things) based vehicular ad-hoc network and a software-defined network. For better communication in IoT based vehicle networks, researchers are now working on the VANET (Vehicular Ad-hoc Network) to increase the overall system performance. To maximize the VANET ad-hoc network's information application performance and reliability, edge computing has gained the attention of researchers. In current research, cloud computing is used for message related task execution, which increases the response time. We propose a Software-defined Fault Tolerance and QoS-Aware (Quality of Service) IoT-Based Vehicular Networks Using Edge Computing Secured by Blockchain to reduce overall communication delay, message failure fault tolerance, and secure service provisioning for VANET ad-hoc networks in this article. We proposed heuristic algorithms to solve the above mentioned problems of response delay, message failure, fault tolerance, and security provided by the Blockchain. The proposed model gets vehicle messages through SDN (Software defined network) nodes, which are placed on nearby edge servers, and the edge servers are validated by the blockchain to provide secure services to vehicles. The SDN controller, which exists on an edge server, which is placed on the road side to overcome communication delays, receives different messages from the vehicles and divides these messages in to two different categories. The message division is performed by the edge server by judging the time line, size, and emergency situation. SDN controller organized these messages and forwarded them to their destination. After the message is delivered to its destination, a fault tolerance mechanism checks their acknowledgements. If the message delivery fails, the fault tolerance algorithm will resend the failure message. The proposed model is implemented using a custom simulator and compared with the latest VANET based QoS and fault tolerance models. The result shows the performance of the proposed model, which decreased the overall message communication delay by 55% of the normal and emergency messages by using the edge server SDN controller. Furthermore, the proposed model reduces the execution time, security risk, and message failure ratio by using the edge server, cloud server and blockchain infrastructure.

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QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog Computing

Cited by 14 publications

References 32 publications

The fog computing for internet of things: review, characteristics and challenges, and open issues

The fog computing for internet of things: review, characteristics and challenges, and open issues

Evaluation and Challenges of IoT Simulators for Intelligent Transportation System Applications

A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

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