Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network

With the rapid development of intelligent devices in wireless communication, the fifth generation (5G) mobile networks have limited high data rates, low latency, high avail-ability demands. The sixth-generation (6G) mobile network can use Digital-twin (DT) techniques to meet these demands. DT is the...

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Bibliographic Details
Published in2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) pp. 342 - 348
Main Authors Ozdogan, Mehmet Ozgen, Carkacioglu, Levent, Canberk, Berk
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2022
Subjects
6G edge recovery
6G mobile communication
blockchain
Blockchains
digital twin networks
knowledge sharing
Machine learning algorithms
Privacy
Sensor systems
Transfer learning
Wireless communication
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Summary:With the rapid development of intelligent devices in wireless communication, the fifth generation (5G) mobile networks have limited high data rates, low latency, high avail-ability demands. The sixth-generation (6G) mobile network can use Digital-twin (DT) techniques to meet these demands. DT is the virtual representation of physical aspects such as 6G edge nodes. DT optimize the 6G edge nodes parameters using artificial intelligence (AI) and especially machine learning (ML) algorithms. However, AI and ML bring along privacy and security concerns. Therefore, user data must be protected from unauthorized persons during the 6G edge network recovery and expansion phases. In this paper, we proposed a new reliable Digital Twin-based 6G edge network recovery framework using Blockchain technology. We applied the Transfer Learning (TL) technique to improve our proposed framework's performance. We ensured data privacy and security using TL and Blockchain.
ISSN:2325-2944
DOI:10.1109/DCOSS54816.2022.00062