Optimizing V2V Energy Trading via Blockchain Sharding in Decentralized Automotive Networks
Yingsen Wang, Jun Zhao, Haonan Wang, Yueying Wang, Weihan Jiao, Weiyi Feng, Yu Miao, Guibin Wang, Keqin Li · 2024
Peer-to-Peer (P2P) energy trading offers a modern alternative to traditional centralized systems, enhancing efficiency and empowering individual energy producers and consumers. A critical application of this is Vehicle-to-Vehicle (V2V) energy trading, where electric vehicles (EVs) act as dynamic nodes, introducing complexity and broad applicability to decentralized networks. Despite the promise of blockchain technology for V2V energy trading, existing research often overlooks the dynamic nature of EV nodes and scalability issues. To address these gaps, we propose a dynamic node sharding (DNS) strategy, utilizing sharding technology to optimize blockchain scalability and security in V2V energy trading. Our method addresses latency in cross-shard transactions and enhances security. Tested on the BlockEmulator platform and deployed on Hyperledger Fabric, our approach outperforms traditional non-sharded methods and other sharded frameworks in throughput, scalability, and transaction management.