ChatGPT-Assisted Energy Efficiency Enhancement for Blockchain Network Sustainability

Abstract

The role of the ChatGPT application has been studied in a number of research works. However, the synergistic association of ChatGPT with Blockchain technology has rarely been discussed. Blockchain technology-based networks face the major challenges of high energy consumption associated with transaction processing. This paper proposes a novel Energy-Efficient Transaction Prioritization (EETP) approach based on the Artificial Intelligence (AI) application (ChatGPT) to reduce energy consumption in blockchain networks. The ChatGPT application (Ver. 3.5) serves to receive prompts for simulated scenarios (A-E) and generate results accordingly. This paper presents a simulation setup to verify the hypothetical results of this study. Simulation results reveal remarkable improvement in average latency, energy consumption per transaction and carbon footprint metrics. The findings of this study underscore the critical imperative of minimizing energy consumption using the proposed EETP approach. The results of the implementation of the EETP approach showed a significant improvement in blockchain energy efficiency. These enhancements include reducing the transaction latency by 60%, increasing the energy-efficient transaction by 20% and eliminating carbon footprint by 20%. These results are reinforced by dynamic incentives and prioritization, aligning with the findings of the existing literature. They emphasize the user adoption and sustainability of blockchain networks through efficient energy consumption. In the future, we could optimize the approach for better results.