We propose a novel Quality of Experience (QoE)-aware framework to crowdsource IoT energy services efficiently. The proposed framework leverages the provisioning of energy services as an auxiliary to increase consumers' satisfaction. A novel QoE model is developed as a metric to assess the consumers' satisfaction with the provisioning of energy services. Two novel composition algorithms, namely, Partial-Based (PB) and Demand-Based (DB) approaches, are proposed to ensure the highest QoE for consumers. Both approaches leverage the providers' flexibility and shareable nature of energy services to efficiently allocate services and optimize the QoE. A set of extensive experiments is conducted to evaluate the proposed approaches' efficiency and effectiveness.
@article{arxiv.2209.03619,
title = {Maximizing Consumer Satisfaction of IoT Energy Services},
author = {Amani Abusafia and Athman Bouguettaya and Abdallah Lakhdari},
journal= {arXiv preprint arXiv:2209.03619},
year = {2022}
}
Comments
15 pages, 10 figures, This paper is accepted in the 20th International Conference on Service Oriented Computing (ICSOC 2022). arXiv admin note: text overlap with arXiv:2208.13506