Blockchain-Based Route Selection With Allocation of Radio and Computing Resources for Connected Autonomous Vehicles

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00371907" target="_blank" >RIV/68407700:21230/23:00371907 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/TITS.2023.3255301" target="_blank" >https://doi.org/10.1109/TITS.2023.3255301</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TITS.2023.3255301" target="_blank" >10.1109/TITS.2023.3255301</a>

Result language
angličtina
Original language name
Blockchain-Based Route Selection With Allocation of Radio and Computing Resources for Connected Autonomous Vehicles
Original language description
With the advent of connected and autonomous vehicles (CAVs), we observe a growing need for new resource allocation solutions in mobile networks. Currently, most of the resource allocation solutions for CAVs communication do not consider the driving routes of the cars. In this paper, we introduce joint vehicular route selection and radio and computing resource allocation for CAVs. The proposed approach is based on the graph search-based lexicographic A* algorithm that 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 CAVs 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. The effectiveness of the proposed approach is demonstrated by simulations showing that the proposed vehicular route selection algorithm reduces the ratio of tasks not completed before the deadline by up to 69% compared to the existing state-of-the-art algorithms.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications

Project
<a href="/en/project/LUASK22064" target="_blank" >LUASK22064: Predictive allocation of edge computing resources for autonomous driving</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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