Secure and Efficient Peer-to-Peer Energy Trading: A Case Study on Edge Computing Simulation Platform for Decentralized Decision Making
Eslam Mofreh, Phuong Hong Nguyen, Koen Kok · 2024
This paper introduces an innovative simulation platform designed to reshape decentralized decision-making processes. By simulating real-world scenarios within an edge computing environment, the platform provides a way to study decentralized decision-making. Leveraging a central Communication Coordinator facilitates dynamic interactions among edge devices, with a particular focus on their application in peer-to-peer energy trading. The platform enables seamless processes, including registration, trading initiation, negotiation, and transaction confirmation. Rigorous evaluations, centered around a peer-to-peer energy trading case study, highlight the platform's effectiveness in securing, standardizing, and optimizing communication. Notably, our findings reveal significant improvements in data integrity, communication efficiency, and overall performance. This research represents a significant leap forward in comprehending decentralized decision-making dynamics and holds promise for diverse applications beyond the realm of energy trading.