TY - GEN
T1 - Observation-based directional energy transmission algorithm in energy harvesting networks
AU - Ko, Haneul
AU - Pack, Sangheon
N1 - Funding Information:
ACKNOWLEDGE This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea Government (MSIT) (2014-0-00552, Next Generation WLAN System with High Efficient Performance)
Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/12
Y1 - 2017/12/12
N2 - 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.
AB - 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.
KW - Energy harvesting
KW - partially observable Markov decision process (POMDP)
KW - radio frequency (RF)
UR - http://www.scopus.com/inward/record.url?scp=85046891771&partnerID=8YFLogxK
U2 - 10.1109/ICTC.2017.8190812
DO - 10.1109/ICTC.2017.8190812
M3 - Conference contribution
AN - SCOPUS:85046891771
T3 - International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
SP - 908
EP - 912
BT - International Conference on Information and Communication Technology Convergence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Information and Communication Technology Convergence, ICTC 2017
Y2 - 18 October 2017 through 20 October 2017
ER -