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Related Experiment Video

Updated: Nov 10, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Efficient and Privacy-Preserving Energy Trading on Blockchain Using Dual Binary Encoding for Inner Product

Turabek Gaybullaev¹, Hee-Yong Kwon¹, Taesic Kim²

¹Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Korea.

Sensors (Basel, Switzerland)

|April 3, 2021

Summary

This study introduces dual binary encoding for secure peer-to-peer energy trading on blockchains. The new method enhances privacy and efficiency by reducing computational load in encrypted bid comparisons.

Keywords:

blockchain energy trading functional encryption inner product integer comparison

Related Experiment Videos

Last Updated: Nov 10, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Electrical Engineering
Computer Science
Information Technology

Background:

Distributed energy resources (DER) and advanced communication technologies enable grid service participation.
Peer-to-peer (P2P) energy trading offers efficient power system operation.
Blockchain technology secures P2P energy trading but raises privacy concerns due to data exposure.

Purpose of the Study:

To address privacy concerns in blockchain-based P2P energy trading.
To improve the efficiency of secure peer matching on encrypted bids.
To propose a novel bid encoding algorithm and a rebidding mechanism.

Main Methods:

Developed a dual binary encoding algorithm for bid values.
Implemented a secure peer matching protocol using functional encryption.
Designed a mechanism for handling unequal trade amounts.
Evaluated the system using a virtual energy trade testbed and a private Ethereum blockchain.

Main Results:

The dual binary encoding significantly reduces computational complexity compared to existing methods.
The proposed rebidding mechanism efficiently handles remaining trade amounts.
The system demonstrates feasibility and improved efficiency in P2P energy trading.

Conclusions:

The dual binary encoding offers a more efficient and privacy-preserving solution for P2P energy trading on blockchains.
This advancement facilitates secure and practical participation of DER owners in electricity markets.
The research contributes to the secure integration of decentralized energy systems.