Quality of Experience Optimization in IoT Energy Services

被引：6
|
作者：
Abusafia, Amani [1 ]
Bouguettaya, Athman [1 ]
Lakhdari, Abdallah [1 ]
机构：
[1] Univ Sydney, Sch Comp Sci, Sydney, NSW, Australia
来源：
2022 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES (IEEE ICWS 2022) | 2022年
基金：
澳大利亚研究理事会;
关键词：
Quality of Experience; IoT Services; Energy Services; Wireless Energy Crowdsourcing; Incentive; IoT;
D O I：
10.1109/ICWS55610.2022.00028
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：91 / 96
页数：6
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