Abstract
In directional energy transmissions, a radio frequency (RF) energy source needs to monitor each sector to achieve higher RF energy transmission efficiency. However, since the distribution of harvesting nodes can be dynamically changed in mobile environments, it is difficult to obtain the exact numbers of harvesting nodes in all sectors within limited time. In such a situation, the operations of RF energy sources (i.e., monitoring the number of harvesting nodes and transmitting the RF energy) can be modeled by a partially observable Markov decision process (POMDP), which has high complexity to be solved. As a practical solution, in this paper, we propose an observation-based directional energy transmission algorithm (OB-DETA) that estimates the population in sectors and transmits the RF energy to the selected sector with a sufficient number of harvesting nodes. Evaluation results are given to demonstrate the effectiveness of OB-DETA over the comparison schemes in terms of the RF energy transmission efficiency.
Original language | English |
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Title of host publication | International Conference on Information and Communication Technology Convergence |
Subtitle of host publication | ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 908-912 |
Number of pages | 5 |
Volume | 2017-December |
ISBN (Electronic) | 9781509040315 |
DOIs | |
Publication status | Published - 2017 Dec 12 |
Event | 8th International Conference on Information and Communication Technology Convergence, ICTC 2017 - Jeju Island, Korea, Republic of Duration: 2017 Oct 18 → 2017 Oct 20 |
Other
Other | 8th International Conference on Information and Communication Technology Convergence, ICTC 2017 |
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Country | Korea, Republic of |
City | Jeju Island |
Period | 17/10/18 → 17/10/20 |
Keywords
- Energy harvesting
- partially observable Markov decision process (POMDP)
- radio frequency (RF)
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Information Systems and Management