Decentralized and AI-Enhanced IoE Framework: P2P Bartering, Donation, and On-Chain Learning
Document Type
Conference Proceeding
Source of Publication
Proceedings 2026 IEEE 46th International Conference on Distributed Computing Systems Workshops Icdcsw 2026
Publication Date
6-1-2026
Abstract
The Internet of Energy (IoE) enables decentralized coordination of distributed energy resources through smart grids and peer-to-peer (P2P) interactions. Despite recent advances, existing solutions remain limited in addressing energy poverty, fairness, and scalability, particularly in non-monetary energy exchange scenarios. This thesis proposes a decentralized and AI-driven IoE framework that integrates energy bartering, fairness-aware energy donation, and on-chain federated learning. The framework introduces novel battery-based energy bartering mechanisms and decentralized autonomous organization (ED-DAO) for transparent and fair energy donation. In addition, artificial intelligence driven approach is utilized to predict tradable energy and optimize decision-making in bartering processes. To support privacy-preserving intelligence in decentralized environments, this work further investigates the integration of blockchain and federated learning, identifying four representative system models and their design trade-offs. Based on this analysis, a scalable on-chain federated learning architecture is outlined. Results demonstrate that hybrid donation mechanisms significantly increase total distributed energy and improve fairness, while AI-enhanced bartering improves system efficiency and prosumer profitability. These findings highlight the potential of combining decentralized technologies and artificial intelligence to build inclusive IoE systems, while identifying key challenges in scalability and decentralized learning.
DOI Link
ISBN
[9798319536471]
Publisher
IEEE
First Page
144
Last Page
145
Disciplines
Computer Sciences
Keywords
blockchain-based federated learning, distributed energy systems, Internet of energy, P2P energy bartering, P2P energy donation
Scopus ID
Recommended Citation
Zekiye, Abdulrezzak; Ozkasap, Oznur; Bouachir, Ouns; and Aloqaily, Moayad, "Decentralized and AI-Enhanced IoE Framework: P2P Bartering, Donation, and On-Chain Learning" (2026). All Works. 8190.
https://zuscholars.zu.ac.ae/works/8190
Indexed in Scopus
yes
Open Access
no