Highly Responsive Batteryless System for Indoor Light Energy Harvesting Environments

Daeyong Kim, Junick Ahn, Hakjun Lee, Hojung Cha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Energy-neutral operation (ENO) aims to provide near-perpetual device operation using energy harvested from ambient environments. Existing ENO techniques, however, have two key problems. The batteries used in harvesting devices have inherently limited lifespans, and the device experiences a long cold-start time when charging the battery. In this paper, we propose a long-lasting and highly responsive batteryless system, called RENO, to solve the problems that occur in energy harvesting devices. Using a supercapacitor to store energy, RENO maximizes the responsiveness in ENO especially running in dynamic harvesting environments such as indoor light energy harvesting. Combining the intermittent characteristics of power-neutral operation (PNO), RENO allows dual-mode operation of PNO and ENO, depending on the current harvesting capability. The device works as a PNO device when charging the energy storage, solving the ENO cold-start issue, while the harvested energy is efficiently managed with ENO. For this dual-mode operation, RENO provides hardware and software that handle the switch between PNO and ENO effectively. Application developers are provided with a well-defined API, which enables energy-efficient development of applications without detailed knowledge of the target hardware. Using the API, developers simply declare a task to be executed as either PNO or ENO, and the rest is handled by the system. The prototype system is implemented, and its functionality is evaluated in controlled environments. We also validate the proposed system with two real-world applications, proving the efficacy of dual-mode batteryless operation.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Pervasive Computing and Communications, PerCom 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages111-120
Number of pages10
ISBN (Electronic)9781665453783
DOIs
Publication statusPublished - 2023
Event21st IEEE International Conference on Pervasive Computing and Communications, PerCom 2023 - Atlanta, United States
Duration: 2023 Mar 132023 Mar 17

Publication series

Name2023 IEEE International Conference on Pervasive Computing and Communications, PerCom 2023

Conference

Conference21st IEEE International Conference on Pervasive Computing and Communications, PerCom 2023
Country/TerritoryUnited States
CityAtlanta
Period23/3/1323/3/17

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Instrumentation

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