2021_FL_blockchain_veh.pdf (2.39 MB)
A blockchain based federated learning for message dissemination in vehicular networks
journal contribution
posted on 2023-06-10, 01:55 authored by Ferheen AyazFerheen Ayaz, Zhengguo ShengZhengguo Sheng, Daxin Tian, Yong Liang GuanMessage exchange among vehicles plays an important role in ensuring road safety. Emergency message dissemination is usually carried out by broadcasting. However, high vehicle density and mobility lead to challenges in message dissemination such as broadcasting storm and low probability of packet reception. This paper proposes a federated learning based blockchain-assisted message dissemination solution. Similar to the incentive-based Proof-of-Work consensus in blockchain, vehicles compete to become a relay node (miner) by processing the proposed Proofof-Federated-Learning (PoFL) consensus which is embedded in the smart contract of blockchain. Both theoretical and practical analysis of the proposed solution are provided. Specifically, the proposed blockchain based federated learning results in more vehicles uploading their models in a given time, which can potentially lead to a more accurate model in less time as compared to the same solution without using blockchain. It also outperforms other blockchain approaches in reducing 65.2% of time delay in consensus, improving at least 8.2% message delivery rate and preserving privacy of neighbour vehicle more efficiently. The economic model to incentivize vehicles participating in federated learning and message dissemination is further analysed using Stackelberg game. The analysis of asymptotic complexity proves PoFL as the most scalable solution compared to other consensus algorithms in vehicular networks.
Funding
A holistic design of secure vehicular networks: communications, data caching and services (SEEDS); G3127; EUROPEAN UNION
History
Publication status
- Published
File Version
- Accepted version
Journal
IEEE Transactions on Vehicular TechnologyISSN
0018-9545Publisher
IEEEExternal DOI
Issue
2Volume
71Page range
1927-1940Department affiliated with
- Engineering and Design Publications
Notes
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2021-12-01First Open Access (FOA) Date
2021-12-01First Compliant Deposit (FCD) Date
2021-12-01Usage metrics
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