Projects per year
Abstract
Advancements in wireless communication, encompassing
cellular and non-terrestrial networks, are empowering
Autonomous Vehicles (AVs) to revolutionize transportation.
The achievement of real-time data exchange and seamless
communication with infrastructure promises a future of safer
and more efficient travel. However, the significant challenge
of efficiently managing the extensive data generated by AVs
persists. This data includes sensor readings, information
about the surrounding environment, and potentially user data.
Consequently, addressing concerns related to data processing,
sharing among various stakeholders, privacy, integrity, and
security is of utmost importance. This paper tackles the data
sharing challenge by proposing and evaluating a platform
built on Hyperledger Fabric, a blockchain technology. This
platform aims to facilitate secure and efficient data sharing
between all parties involved with AVs. Our initial testing
reveals that the number of simulated users (virtual user
count) and the amount of data processed (data load) can
negatively impact the system’s performance. This highlights
the need for further optimization to ensure the platform can
handle large-scale data sharing effectively.
cellular and non-terrestrial networks, are empowering
Autonomous Vehicles (AVs) to revolutionize transportation.
The achievement of real-time data exchange and seamless
communication with infrastructure promises a future of safer
and more efficient travel. However, the significant challenge
of efficiently managing the extensive data generated by AVs
persists. This data includes sensor readings, information
about the surrounding environment, and potentially user data.
Consequently, addressing concerns related to data processing,
sharing among various stakeholders, privacy, integrity, and
security is of utmost importance. This paper tackles the data
sharing challenge by proposing and evaluating a platform
built on Hyperledger Fabric, a blockchain technology. This
platform aims to facilitate secure and efficient data sharing
between all parties involved with AVs. Our initial testing
reveals that the number of simulated users (virtual user
count) and the amount of data processed (data load) can
negatively impact the system’s performance. This highlights
the need for further optimization to ensure the platform can
handle large-scale data sharing effectively.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024 |
| Editors | Syed Ali Raza Zaidi, Khalil Ibrahimi, Mohamed El Kamili, Abdellatif Kobbane, Nauman Aslam |
| Publisher | IEEE Communications Society |
| ISBN (Electronic) | 9798350377866 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024 - Leeds, United Kingdom Duration: 23 Jul 2024 → 25 Jul 2024 |
Publication series
| Name | Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024 |
|---|
Conference
| Conference | 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024 |
|---|---|
| Country/Territory | United Kingdom |
| City | Leeds |
| Period | 23/07/24 → 25/07/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Autonomous Vehicle
- Blockchain
- Data sharing
- Hyperledger
- Privacy
- Security
Projects
- 4 Active
-
REMOTE: Resilient and Secure Multi-Access Interoperable Communication Fabric for TinyEdge
1/05/24 → 30/04/27
Project: Research project (funded) › Research
-
EPSRC Communication Hub Cheddar Research Fellowship
1/06/23 → 31/10/26
Project: Research project (funded) › Research
-
CHEDDAR Communications Hub for Empowering Distributed ClouD Computing Applications and Research
Yadav, P. (Principal investigator), Calinescu, R. (Co-investigator) & Lucamarini, M. (Co-investigator)
1/06/23 → 31/05/26
Project: Research project (funded) › Research