The reviewed record of science sign in
Pith

arxiv: 2208.13506 · v1 · pith:JM6YHS2L · submitted 2022-08-29 · cs.DC

Quality of Experience Optimization in IoT Energy Services

Reviewed by Pithpith:JM6YHS2Lopen to challenge →

classification cs.DC
keywords compositionenergyexperiencenovelproposedqualityservicesalgorithm
0
0 comments X
read the original abstract

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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.