arXiv
Open Access
2020
Incentive-Based Selection and Composition of IoT Energy Services
Amani Abusafia
Athman Bouguettaya
Sajib Mistry
Abstrak
We propose a novel incentive-based framework for composing energy service requests. An incentive model is designed that considers the context of the providers and consumers to determine rewards for sharing wireless energy. We propose a novel priority scheduling approach to compose energy service requests that maximizes the reward of the provider. A set of exhaustive experiments with a dataset and collected IoT users' behavior is conducted to evaluate the proposed approach. Experimental results prove the efficiency of the proposed approach.
Topik & Kata Kunci
Penulis (3)
A
Amani Abusafia
A
Athman Bouguettaya
S
Sajib Mistry
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2020
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓