Energy-aware system design for autonomous wireless sensor nodes: A comprehensive review

Research output: Journal contributionsScientific review articlesResearch

Authors

  • Olfa Kanoun
  • Sonia Bradai
  • Sabrine Khriji
  • Ghada Bouattour
  • Dhouha El Houssaini
  • Meriam Ben Ammar
  • Slim Naifar
  • Ayda Bouhamed
  • Faouzi Derbel
  • Christian Viehweger

Nowadays, wireless sensor networks are becoming increasingly important in several sectors including industry, transportation, environment and medicine. This trend is reinforced by the spread of Internet of Things (IoT) technologies in almost all sectors. Autonomous energy supply is thereby an essential aspect as it decides the flexible positioning and easy maintenance, which are decisive for the acceptance of this technology, its wide use and sustainability. Significant improvements made in the last years have shown interesting possibilities for realizing energy-aware wireless sensor nodes (WSNs) by designing manifold and highly efficient energy converters and reducing energy consumption of hardware, software and communication protocols. Using only a few of these techniques or focusing on only one aspect is not sufficient to realize practicable and market relevant solutions. This paper therefore provides a comprehensive review on system design for battery-free and energy-aware WSN, making use of ambient energy or wireless energy transmission. It addresses energy supply strategies and gives a deep insight in energy management methods as well as possibilities for energy saving on node and network level. The aim therefore is to provide deep insight into system design and increase awareness of suitable techniques for realizing battery-free and energy-aware wireless sensor nodes.

Original languageEnglish
Article number548
JournalSensors (Switzerland)
Volume21
Issue number2
Number of pages25
ISSN1424-8239
DOIs
Publication statusPublished - 14.01.2021
Externally publishedYes

Bibliographical note

Funding Information:
Funding: The publication of this article was funded by Chemnitz University of Technology.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

    Research areas

  • Compressive sensing, Energy efficiency, Energy harvesting, Energy man-agement, Energy prediction, Energy saving, Hybrid energy harvesting, Wake-up receiver, Wireless energy transfer, Wireless sensor networks
  • Engineering

DOI

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