Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization
As unmanned aerial vehicle (UAV) technology expands into diverse applications, the demand for enhanced performance intensifies. Blockchain sharding technology offers promising avenues for improving data processing capabilities and security in drone networks. However, the inherent mobility of UAVs an...
Saved in:
| Main Authors: | Kaiyin Lu, Xinguang Zhang, Tianbo Zhai, Mengjie Zhou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/22/7279 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MSSP: A Blockchain Sharding Protocol Based on Multi-Shard Storage
by: Jinyi Liu, et al.
Published: (2025-03-01) -
AWI-BS: An adaptive weight incentive for blockchain sharding
by: Zuobin Ying, et al.
Published: (2023-07-01) -
A blockchain sharding scheme in edge computing
by: Jun WANG, et al.
Published: (2023-12-01) -
BMDS-Shard: a parallel and atomicity-guaranteed cross-shard blockchain protocol
by: Haitao Chen, et al.
Published: (2025-05-01) -
Design of reputation-driven blockchain sharding consensus and incentive mechanism
by: TIAN Hanwen, et al.
Published: (2025-02-01)