TY - JOUR
T1 - OB-DETA
T2 - Observation-based directional energy transmission algorithm in energy harvesting networks
AU - Ko, Haneul
AU - Pack, Sangheon
N1 - Funding Information:
Manuscript received March 5, 2018; approved for publication by Dusit Tao Niyato, Division III, July 16, 2018. A preliminary version of this paper was presented at International Conference on ICT Convergence (ICTC) 2017, Jeju Island, Korea, Oct. 2017 [1]. This work was supported in part by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742) and in part by Institute for Information & Communications Technology Promotion (IITP) grants funded by the Korea government (MSIT) (No. 2015-0-00575, Global SDN/NFV Open-Source Software Core Module/Function Development). H. Ko is with Korea University and he was a visiting postdoctoral fellow in University of British Columbia, Vancouver, BC, Canada, email: ko.haneul@gmail.com. S. Pack is with the School of Electrical Engineering, Korea University, Seoul, Korea, email: shpack@korea.ac.kr. S. Pack is the corresponding author. Digital Object Identifier: 10.1109/JCN.2019.000015
Funding Information:
This work was supported in part by National Research Foundation (NRF) (No. 2017R1E1A1A01073742)
Publisher Copyright:
© 2011 KICS.
PY - 2019/4
Y1 - 2019/4
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 location of harvesting nodes can be dynamically changed in mobile environments, it is difficult to obtain the exact numbers of harvesting nodes and the distance between harvesting nodes and the RF energy source in all sectors within limited time. In such a situation, the operations of the RF energy source (i.e., monitoring sectors 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, we propose an observation-based directional energy transmission algorithm (OB-DETA) that estimates the efficiency of energy transmission in sectors and transmits the RF energy to the selected sectors with high energy transmission efficiency (i.e., sectors with lots of non-fully-charged harvesting nodes around the RF energy source). 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 location of harvesting nodes can be dynamically changed in mobile environments, it is difficult to obtain the exact numbers of harvesting nodes and the distance between harvesting nodes and the RF energy source in all sectors within limited time. In such a situation, the operations of the RF energy source (i.e., monitoring sectors 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, we propose an observation-based directional energy transmission algorithm (OB-DETA) that estimates the efficiency of energy transmission in sectors and transmits the RF energy to the selected sectors with high energy transmission efficiency (i.e., sectors with lots of non-fully-charged harvesting nodes around the RF energy source). Evaluation results are given to demonstrate the effectiveness of OB-DETA over the comparison schemes in terms of the RF energy transmission efficiency.
KW - Directional antenna
KW - energy harvesting
KW - partially observable Markov decision process (POMDP)
KW - radio frequency (RF) energy
KW - wireless power transmission (WPT)
UR - http://www.scopus.com/inward/record.url?scp=85065975550&partnerID=8YFLogxK
U2 - 10.1109/JCN.2019.000015
DO - 10.1109/JCN.2019.000015
M3 - Article
AN - SCOPUS:85065975550
VL - 21
SP - 168
EP - 176
JO - Journal of Communications and Networks
JF - Journal of Communications and Networks
SN - 1229-2370
IS - 2
M1 - 8718094
ER -