Energy Utilization-Aware Operation Control Algorithm in Energy Harvesting Base Stations

Haneul Ko, Sangheon Pack, Victor C.M. Leung

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Radio frequency (RF) energy transfer has received high attention as a promising technology for wireless sensor networks (WSNs) due to its flexibility of energy supply. However, unplanned RF energy transmissions may lead to increased energy consumption in the main grid. To address this problem, we first develop the energy queuing models for base station (BS) and sensor node (SN). Based on them, we propose an energy utilization-aware operation control algorithm (EU-OCA) to minimize the energy outage probabilities of SNs while maintaining the energy consumption of the main grid below a certain level. In EU-OCA, a controller determines jointly the active/sleep modes and the transmission powers of renewable energy-based BSS with the consideration of the statistical information on the energy arrival of BSS and the energy consumption of SNs. Evaluation results demonstrate that EU-OCA can achieve longer lifetime compared to other BS operation control algorithms while maintaining the energy consumption of the main grid below a target level.

Original languageEnglish
Article number8843917
Pages (from-to)10824-10833
Number of pages10
JournalIEEE Internet of Things Journal
Volume6
Issue number6
DOIs
Publication statusPublished - 2019 Dec

Bibliographical note

Funding Information:
Manuscript received April 21, 2019; revised August 27, 2019; accepted September 13, 2019. Date of publication September 18, 2019; date of current version December 11, 2019. This work was supported in part by the National Research Foundation of Korea Grant funded by the Korean Government (MSIP) under Grant 2017R1E1A1A01073742, and in part by Korea University Grant. (Corresponding author: Sangheon Pack.) H. Ko is with the Department of Computer Convergence Software, Korea University, Sejong 30019, South Korea (e-mail: heko@korea.ac.kr).

Funding Information:
This work was supported in part by the National Research Foundation of Korea Grant funded by the Korean Government (MSIP) under Grant 2017R1E1A1A01073742, and in part by Korea University Grant.

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Active/sleep mode
  • energy harvesting
  • power control
  • queuing theory
  • wireless power transfer (WPT)

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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