REAL-TIME ENERGY CONSUMPTION FRAMEWORK-BASED IOT SENSORS WITH BLOCKCHAIN

Abstract

The purpose of this article is to propose a framework for controlling light level consumption in smart city buildings and preventing power meter reading fraud. The framework utilizes IoT sensors, decentralized smart agents, and a smart contract on a backchain platform. This method enables the monitoring of light system consumption by focusing on communication integrity and identity for IoT sensors. The framework improves the work of light systems based on operational voltage, which varies with respect to light intensity values sensed via IoT sensors. The decentralized smart agents send consumption and real-time behavior data from the IoT sensors either through the default assigned agent or any available nearby agent. The smart contract securely transacts the consumption and behavior data of the smart agents using a Proof-of-Stake algorithm to support untampering of electric consumption. The results of the case study show that the proposed framework can improve light level consumption by 76%. The framework is evaluated through characteristics such as communication overhead, energy optimization, high availability, and real-time monitoring. The research results contribute to the development and improvement of energy conservation in smart cities. The proposed framework can also be applied to other applications in smart cities, such as facility management solutions. The novelty of the paper lies in the use of a blockchain-based framework to control light level consumption and prevent power meter readings fraud, providing a secure and tamper-proof way to collect and transmit consumption data, thus improving energy efficiency in smart city and ensuring accurate billing for consumers. Keywords: IoT Sensors, Blockchain, Energy Management, Smart Agents DOI： https://doi.org/10.35741/issn.0258-2724.58.4.46