Blockchain-Based Route Selection With Allocation of Radio and Computing Resources for Connected Autonomous Vehicles-Reference-Cited by-同舟云学术

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

Published:2023-07 Issue:7 Volume:24 Page:7230-7243
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Vološin Marcel¹^ORCID,Šlapak Eugen¹^ORCID,Becvar Zdenek²^ORCID,Maksymyuk Taras³^ORCID,Petík Adam¹^ORCID,Liyanage Madhusanka⁴^ORCID,Gazda Juraj¹^ORCID

Affiliation:

1. Department of Computer and Informatics, Technical University of Košice, Kosice, Slovakia

2. Department of Telecommunication Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic

3. Department of Telecommunications, Lviv Polytechnic National University, Lviv, Ukraine

4. School of Computer Science, University College Dublin, Dublin 4, Ireland

Funder

Science Foundation Ireland under CONNECT Phase 2

Ukrainian Government “Designing the Novel Decentralized Mobile Network Based on Blockchain Architecture and Artificial Intelligence for 5G/6G Development in Ukraine,”

Ministry of Education, Youth and Sports, Czech Republic

Slovak Research and Development Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10175858/10074986.pdf?arnumber=10074986

Reference49 articles.

1. Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing

2. Virtual Edge: Exploring Computation Offloading in Collaborative Vehicular Edge Computing

3. Dimensioning and Layout Planning of 5G-Based Vehicular Edge Computing Networks Towards Intelligent Transportation

4. Efficient Workload Allocation and User-Centric Utility Maximization for Task Scheduling in Collaborative Vehicular Edge Computing

5. Efficient task offloading using particle swarm optimization algorithm in edge computing for industrial internet of things

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