Paper Info
Title
Reliable Data Transmission over Energy-Efficient Vehicular Network Based on Blockchain and MEC
Abstract
Recently, electric vehicles (EVs) have been widely used under the call of green travel and environmental protection, and diverse requirements for charging are also increasing gradually. In order to ensure the authenticity and privacy of charging information interaction, blockchain technology is proposed and applied in charging station billing systems. However, there are some issues in blockchain itself, including lower computing efficiency of the nodes and higher energy consumption in the consensus process. To handle the above issues, in this paper, combining blockchain and mobile edge computing, we develop a reliable billing data transmission scheme to improve the computing capacity of nodes and reduce the energy consumption of the consensus process. By jointly optimizing the primary and replica nodes offloading decisions, block size and block interval, the transaction throughput of the blockchain system is maximized, as well as the consumption costs of latency and energy consumption is minimized. Moreover, we formulate the joint optimization problem as Markov decision process (MDP). To tackle this dynamic and continuity of the system state, the actor-critic reinforcement learning is introduced to solve the MDP problem. Finally, simulation results demonstrate that the performance improvement of the proposed scheme through comparison with other existing schemes.
Year
DOI
Venue
2021
10.1109/ICC42927.2021.9500307
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
Keywords
DocType
ISSN
Electric vehicles, billing data interaction, blockchain, mobile edge computing, reinforcement learning
Conference
1550-3607
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Xinyu Ye100.68
Meng Li2366.94
Fei Yu35116335.58
Pengbo Si418625.23
Zhuwei Wang511.69
Yanhua Zhang614524.84