Management of RF Energy Harvesting: A Survey

Uthman Baroudi*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Advancement in energy harvesting technologies has inspired new ways of supporting industrial applications especially in harsh environment with almost everlasting free power. There are several sources such as solar, wind, vibration, radio frequency (RF), etc. and each source has its own characteristics. RF poses unique characteristics which make it a good candidate for specific applications such as indoor sensor networks. However, due to the scarcity of harvested power, it is essential to manage this power efficiently taking into consideration the quality of service requirements. In this paper, we classified the power management techniques into two major classes: soft and hard techniques; soft techniques such as MAC protocols, while hard techniques RF harvester circuit design. In this work, we survey the literature for the existing soft power management techniques for Radio Frequency (RF) energy harvesting based sensor networks. Then, we shed light on the major challenges and open issues in building a sustainable RF energy harvesting based wireless sensor networks.

Original languageEnglish
Title of host publication16th International Multi-Conference on Systems, Signals and Devices, SSD 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages44-49
Number of pages6
ISBN (Electronic)9781728118208
DOIs
StatePublished - Mar 2019

Publication series

Name16th International Multi-Conference on Systems, Signals and Devices, SSD 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Energy harvesting
  • power management
  • radio frequency
  • wireless energy transfer
  • wireless sensor network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Control and Optimization
  • Instrumentation

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