Smart Contract Centric Inference Engine For Intelligent Electric Vehicle Transportation System
Department of Computer Engineering, Jeju National University, Jeju-si 63243, Korea
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(15), 4252; https://doi.org/10.3390/s20154252
Received: 3 July 2020 / Revised: 25 July 2020 / Accepted: 29 July 2020 / Published: 30 July 2020
(This article belongs to the Special Issue Sensor Networks and Internet of Things for Intelligent Infrastructures in Transport and Energy Systems)
The provision of electric vehicles (EVs) is increasing due to the need for ecological green energy. The increment in EVs leads to an intelligent electric vehicle transportation system’s need instead of cloud-based systems to manage privacy and security issues. Collecting and delivering the data to current transportation systems means disclosing personal information about vehicles and drivers. We have proposed a secure and intelligent electric vehicle transportation system based on blockchain and machine learning. The proposed method utilizes the state of the art smart contract module of blockchain to build an inference engine. This system takes the sensors’ data from the vehicle control unit of EV, stores it in the blockchain, makes decisions using an inference engine, and executes those decisions using actuators and user interface. We have utilized a double-layer optimized long short term memory (LSTM) algorithm to predict EV’s stator temperature. We have also performed an informal analysis to demonstrate the proposed system’s robustness and reliability. This system will resolve the security issues for both information and energy interactions in EVs.
View Full-Text
Keywords:
electric vehicles; transportation systems; blockchain; sensors; actuators; vehicle control unit; smart contract; machine learning; LSTM; stator temperature
▼
Show Figures
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Khan, P.W.; Byun, Y.-C. Smart Contract Centric Inference Engine For Intelligent Electric Vehicle Transportation System. Sensors 2020, 20, 4252. https://doi.org/10.3390/s20154252
AMA Style
Khan PW, Byun Y-C. Smart Contract Centric Inference Engine For Intelligent Electric Vehicle Transportation System. Sensors. 2020; 20(15):4252. https://doi.org/10.3390/s20154252
Chicago/Turabian StyleKhan, Prince W.; Byun, Yung-Cheol. 2020. "Smart Contract Centric Inference Engine For Intelligent Electric Vehicle Transportation System" Sensors 20, no. 15: 4252. https://doi.org/10.3390/s20154252
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
Search more from Scilit