SV-PBFT: An Efficient and Stable Blockchain PBFT Improved Consensus Algorithm for Vehicle-to-Vehicle Energy Transactions

Yao Suo,
Yingsen Wang,
Shichao Luo,
Qianqian Yang,
Juanjuan Zhao,

Abstract


Aiming at the problems of difficult charging, long waiting time and energy loss of IoEV (Internet of electric vehicles) during peak charging period, we design a V2V (vehicle to vehicle) energy trading model to simulate the energy trading process. Considering the problems of malicious node attacks and privacy protection, we combine the V2V energy transaction model with a federated chain and explore a distributed ledger to record the V2V energy transaction process. In addition, we design a credibility mechanism to initialize nodes according to their comprehensive strength and select master nodes based on their behavioral performance of participating in consensus, which ensures the reliability of the consensus. Based on this, we propose a more efficient and promising consensus algorithm SV-PBFT (shapley value-PBFT), which simplifies the consensus process, reduces the communication overhead, and improves the consensus efficiency. The SV-PBFT consensus algorithm is used to replace the traditional consensus algorithm in V2V energy trading. The proposed SV-PBFT algorithm is validated by extensive simulation experiments, and numerical results are provided to confirm the good performance of SV-PBFT in V2V energy trading models.

Keywords


Blockchain, Consensus algorithm, Vehicle to Vehicle, Reputation mechanism

Citation Format:
Yao Suo, Yingsen Wang, Shichao Luo, Qianqian Yang, Juanjuan Zhao, "SV-PBFT: An Efficient and Stable Blockchain PBFT Improved Consensus Algorithm for Vehicle-to-Vehicle Energy Transactions," Journal of Internet Technology, vol. 23, no. 6 , pp. 1191-1201, Nov. 2022.

Full Text:

PDF

Refbacks

  • There are currently no refbacks.





Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
JIT Editorial Office, Office of Library and Information Services, National Dong Hwa University
No. 1, Sec. 2, Da Hsueh Rd., Shoufeng, Hualien 974301, Taiwan, R.O.C.
Tel: +886-3-931-7314  E-mail: jit.editorial@gmail.com