تقرير
Activity-based Profiling for Energy Harvesting Estimation
| العنوان: | Activity-based Profiling for Energy Harvesting Estimation |
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| المؤلفون: | Li, Jiajie, Abusafia, Amani, Lakhdari, Abdallah, Bouguettaya, Athman |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Distributed, Parallel, and Cluster Computing |
| الوصف: | We propose a novel activity-based profiling framework to estimate IoT users' harvested energy based on their daily activities. Energy is harvested from natural sources such as the kinetic movement of IoT users. The profiling framework captures the users' physical activity data to define activity-based profiles. These profiles are utilized to estimate the harvested energy by IoT users. We train and evaluate our framework based on a real Fitbit dataset. Comment: 2 pages, 2 Figures,This is an accepted posterpaper at the ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) 2023 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1145/3583120.3589833 |
| URL الوصول: | http://arxiv.org/abs/2305.08025 |
| رقم الأكسشن: | edsarx.2305.08025 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1145/3583120.3589833 |
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