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Related Experiment Video

Updated: Jan 11, 2026

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

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Published on: September 8, 2023

Efficient and Privacy-Preserving Power Distribution Analytics Based on IoT.

Ruichen Xu¹, Jiayi Xu¹, Xuhao Ren¹

¹School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)

|November 13, 2025

Summary

This study introduces PSDA, a novel method for analyzing power distribution in smart grids using Internet of Things (IoT) technology. PSDA enhances data privacy and real-time processing for reliable smart grid operations.

Keywords:

Hilbert curve Internet of Things distributed point functions power distribution analytics

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Area of Science:

Electrical Engineering
Computer Science
Data Science

Background:

Growing global electricity demand necessitates stable power distribution systems.
Power disruptions incur significant economic and societal costs, highlighting the need for robust monitoring.
Internet of Things (IoT) integration in smart grids offers real-time data capabilities but introduces communication and privacy challenges.

Purpose of the Study:

To propose an IoT-based method, PSDA, for efficient and private power distribution analytics in smart grids.
To address challenges of high communication overhead and insufficient user privacy in IoT-enabled smart grids.
To enable accurate, timely, and scalable monitoring for improved smart grid management.

Main Methods:

PSDA collects real-time power usage data from distributed IoT sensor nodes.
Hilbert curves are employed for spatial data organization, preserving locality and enabling efficient encoding.
A dual-server architecture and distributed point functions (DPF) are utilized for efficient data transmission and privacy protection.

Main Results:

The proposed PSDA method accurately analyzes power distribution in smart grids.
Experimental results demonstrate effective real-time processing and enhanced privacy protection.
PSDA facilitates prompt responses within smart grid management systems.

Conclusions:

PSDA offers an innovative IoT-integrated solution for secure and efficient smart grid operation.
The method significantly improves upon traditional approaches in terms of privacy and real-time performance.
Accurate power distribution analytics are crucial for maintaining reliable electricity supply.