2022/08/29 by Amani Abusafia, Abusafia, Amani, Athman Bouguettaya +3
Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #Green IT and Sustainability #Image and Video Quality Assessment #Parallel #Smart Grid Energy Management #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2208.13506
openalex publication_date 2022/08/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose a novel Quality of Experience (QoE) metric as a key criterion to optimize the composition of energy services in a crowdsourced IoT environment. A novel importance-based composition algorithm is proposed to ensure the highest QoE for consumers. A set of experiments is conducted to evaluate the proposed approaches' effectiveness and efficiency.