Blockchain-Enabled Intelligent Vehicular Edge Computing

Islam, Shafkat; Badsha, Shahriar; Sengupta, Shamik; La, Hung Manh; Khalil, Ibrahim; Atiquzzaman, Mohammed

doi:10.1109/mnet.011.2000554

Cited by 27 publications

(12 citation statements)

References 12 publications

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“…A novel trust management system based on blockchain for the cooperative verification and storage of sensitive data with the help of MEC is further presented in [15]. From the MEC perspective, blockchain technology can ensure that the data shared by CVs are legitimate and that each CV has corresponding permissions to access the computing resources of MEC servers [16], [17]. Finally, from the communication point of view, blockchain can be applied for radio resource sharing, mobility management and the establishment of service level agreements (SLAs) between network operators and CVs [18], [19].…”

Section: B Blockchain-empowered V2i Solutionsmentioning

confidence: 99%

Blockchain-based Route Selection with Allocation of Radio and Computing Resources for Connected Vehicles

Gazda¹,

Maksymyuk²,

Bečvář³

et al. 2023

Preprint

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<p>Most of the existing solutions for communication of connected vehicles (CVs) are focused on the optimization of resource allocation, however, not taking the driving routes of the CVs into account. In addition, no existing work considers the offloading of computing tasks from CVs to edge computing servers. In this paper, we introduce joint vehicular route selection and radio and computing resource allocation for CVs. The proposed algorithm minimizes the ratio of failed tasks along the entire vehicular route considering the availability of both radio and computing resources. To manage the allocation of resources among multiple CVs for each vehicular route, we develop a blockchain-based framework allowing resource reservation by means of nonfungible tokens (NFTs). Each NFT represents an exclusive right to the required amount of radio and computing resources for the given road segment and defined time interval. Simulation results show that the proposed vehicular route selec-<br> tion algorithm reduces the ratio of tasks not completed before deadline by up to 69% compared to the existing state-of-the-art algorithms.</p>

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Section: B Blockchain-empowered V2i Solutionsmentioning

confidence: 99%

Blockchain-based Route Selection with Allocation of Radio and Computing Resources for Connected Vehicles

Gazda¹,

Maksymyuk²,

Bečvář³

et al. 2023

Preprint

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“…For information that is not an emergency, the requirements can be lowered. Based on the different requirements, V2X services can be divided into several basic types [23,24].…”

Section: V2xmentioning

confidence: 99%

“…To solve these problems, the European Telecommunications Standards Institute, in 2014, proposed the use of mobile peripheral computing [3]. Cloud-based models require the transmission and storage of V2X system object data in specialized data centers, which increases the likelihood of information leakage or loss and long latency, which can lead to accidents [24]. In addition to this, the devices require additional services, such as computing and updating the user rating and network segment selection, which is a very time-consuming process; further, it becomes necessary to resort to mobile edge computing technology.…”

Section: Integration Of Mobile Edge Computing (Mec) Into the V2x Systemmentioning

confidence: 99%

Distributed Edge Computing with Blockchain Technology to Enable Ultra-Reliable Low-Latency V2X Communications

et al. 2022

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Vehicular communication is a promising technology that has been announced as a main use-case of the fifth-generation cellular system (5G). Vehicle-to-everything (V2X) is the vehicular communication paradigm that enables the communications and interactions between vehicles and other network entities, e.g., road-side units (RSUs). This promising technology faces many challenges related to reliability, availability and security of the exchanged data. To this end, this work aims to solve the scientific problem of building a vehicular network architecture for reliable delivery of correct and uncompromised data within the V2X concept to improve the safety of road users, using blockchain technology and mobile edge computing (MEC). The proposed work provides a formalized mathematical model of the system, taking into account the interconnection of objects and V2X information channels and an energy-efficient offloading algorithm to manage traffic offloading to the MEC server. The main applications of the blockchain and MEC technology in the developed system are discussed. Furthermore, the developed system, with the introduced sub-systems and algorithms, was evaluated over a reliable environment, for different simulation scenarios, and the obtained results are discussed.

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“…In vehicular edge computing (VEC), many IoT devices in different places, such as roads, vehicles, drivers, and passengers, continuously generate data. These data bring enormous delay-sensitive and computation-sensitive applications, including intelligent navigation, autonomous driving, intelligent entertainment, accident warnings, augmented realitysupported gaming, AI-based pedestrian detection, and fuel scheduling [15], [16]. The data generated by these applications must be processed and stored on time, which is not in the ability of resource-limited IoT devices.…”

Section: Motivationmentioning

confidence: 99%

Selfish Routing Game-Based Multi-Resource Allocation and Fair Scheduling of Indivisible Jobs in Edge Environments

Siar

Izadi

2022

IEEE Access

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Distributed and heterogeneous edge computing environments require efficient allocation and scheduling of multiple users' applications. This paper presents a game-theoretic solution to model the competition between time-sensitive internet of things (IoT) applications with indivisible loads to be allocated and scheduled to edge servers. We model the allocation problem as a selfish routing game such that no job is unsatisfied with its allocation. Also, the allocated jobs are scheduled using a weighted time-sharing approach, which assigns resources to jobs proportional to their demands and deadlines. We proved the existence of pure Nash equilibrium in the introduced game and presented a greedy and polynomial time algorithm to obtain the solution called SAFSA. Using an extended version of the CloudSim simulator, we assess our approach in different situations by employing a real-world dataset of the Google cluster. Since the proposed algorithm considers jobs' deadlines beside resource requests in allocation and scheduling decisions, it can simultaneously minimize average response time and maximize the number of jobs completed within their deadlines.The simulation results confirm the ability of SAFSA to efficiently execute the jobs within their deadlines, especially when there are many IoT devices and edge servers in the system, which is the main characteristic of IoT environments.INDEX TERMS Edge computing, Job allocation, Nash equilibrium, Selfish games, Time-sharing scheduling.• Selecting the appropriate edge server for each job (where): The allocation decisions of the jobs affect the performance of each other. Therefore, we developed a

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Blockchain-Enabled Intelligent Vehicular Edge Computing

Cited by 27 publications

References 12 publications

Blockchain-based Route Selection with Allocation of Radio and Computing Resources for Connected Vehicles

Blockchain-based Route Selection with Allocation of Radio and Computing Resources for Connected Vehicles

Distributed Edge Computing with Blockchain Technology to Enable Ultra-Reliable Low-Latency V2X Communications

Selfish Routing Game-Based Multi-Resource Allocation and Fair Scheduling of Indivisible Jobs in Edge Environments

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