A comprehensive survey on the application of blockchain/hash chain technologies in V2X communications

Farran, Hassan; Khoury, David S.; Bokor, László

doi:10.36244/icj.2022.1.4

Cited by 4 publications

(1 citation statement)

References 33 publications

(44 reference statements)

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“…Firstly, the task length of the big model is K = 1MBits, while the communication bandwidth is W = 1MHz [34][35][36]. Secondly, the average channel gains ξ 1 and ξ 2 are both set to unity [37][38][39]. The transmit signal-to-noise ratio (SNR) is established at 10 dB, and the variance of AWGN is σ 2 = 1.…”

Section: Simulation Results and Discussion For Big Model Transmissionmentioning

confidence: 99%

Performance Analysis of Big Model Transmission under Double Rayleigh Fading

Sun,

Huang,

Wei

2023

ICST Transactions on Scalable Information Systems

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The recent big model such as GPT-3.5 possesses an extensive understanding of natural language, and it can perform a wide range of tasks, making it a significant advancement in the field of artificial intelligence (AI). A critical challenge in the design and implementation of big model is that it imposes a heavy load on the wireless transmission due to a huge size of the network parameters, especially for the distributed implementation. To tackle this challenge, we investigate big model transmission under practical double Rayleigh fading environments, where the big model is simultaneously distributed to multiple training nodes. To evaluate the system performance, we study the system outage probability (OP) based on the transmission latency, where an analytical expression is derived for the OP. Finally, we present some simulations under double Rayleigh fading environments, in order to show the validity of the proposed big model transmission.

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Section: Simulation Results and Discussion For Big Model Transmissionmentioning

confidence: 99%

Performance Analysis of Big Model Transmission under Double Rayleigh Fading

Sun,

Huang,

Wei

2023

ICST Transactions on Scalable Information Systems

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Blockchain Integration for IoT-Enabled V2X Communications: A Comprehensive Survey, Security Issues and Challenges

Rao,

Jangirala,

Pedada

et al. 2023

IEEE Access

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In V2X (vehicle-to-everything) communication, there is a two-way communication among the vehicle(s) and other Internet of Things (IoT)-enabled smart devices around it that may change how we need to drive. Due to the advancement of Information and Communications Technology (ICT) and the rapid development of IoT in transportation, traditional applications are converted to intelligent applications. In V2X communications, the collected information from the IoT smart devices and other sources passes through low-latency, high-bandwidth, high-reliability links. With the future adoption of the 5th generation mobile network (5G) and beyond networks, V2X continues to produce a huge volume of data. However, collecting and storing data securely in blockchain-based storage are extremely needed for immutability and transparency. In this survey article, the convergence of IoT, V2X and blockchain technologies, and various security challenges and their countermeasures are discussed. Next, we discuss various V2X applications and their respective services. Moreover, IoT-V2X architecture and its enabling technologies are discussed in this article. In addition, we also provide a comprehensive analysis of various security mechanisms. Finally, we provide some important challenges and issues of Blockchain for Intelligent Transportation System (BITS).INDEX TERMS Vehicle-to-everything (V2X), Internet of Things (IoT), blockchain, attacks, security.

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