Next generation wireless energy aware sensors for internet of things: A review

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Olfa Kanoun
  • Thomas Keutel
  • Christian Viehweger
  • Xinming Zhao
  • Sonia Bradai
  • Slim Naifar
  • Carlo Trigona
  • Bilel Kallel
  • Issam Chaour
  • Ghada Bouattour
  • Sabrine Khriji
  • Dhouha El Houssaini
  • Martin Götz

In the internet of things context, the use of Wireless Sensor Networks (WSN) becomes extensive and the aspect of energy supply becomes more and more essential. Flexible positioning and easy maintenance become a key aspect for the acceptance of this technology. In this paper, we focus on novel trends for supplying WSN from ambient energy and by wireless energy transmission. The improvements made in the last years have shown that it is possible to significantly improve energy efficiency by suitable converters and to reduce energy consumption of sensor nodes, so that the use of these emerging technologies becomes increasingly realistic and practicable. We report about possibilities for improving energy income by combination of converters within hybrid solutions. Different techniques for enhancing efficiency of energy converters and reducing energy consumption on node and network level are described.

Original languageEnglish
Title of host publication2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date07.12.2018
Article number8570695
ISBN (print)978-1-5386-5306-7
ISBN (electronic)978-1-5386-5305-0, 978-1-5386-5304-3
DOIs
Publication statusPublished - 07.12.2018
Externally publishedYes
Event15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 - Yassmine, Hammamet, Tunisia
Duration: 19.03.201822.03.2018
https://ieeexplore.ieee.org/document/8570372
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8570372

Bibliographical note

Funding Information:
ACKNOWLEDGMENT The authors would like to thank several funders who supported this work within several projects. We would like to thank a. o. the Sächsische Aufbaubank (SAB) and the European Social Fund (ESF) for the projects: 100113366, 100235478, 100284169, the DAAD for the projects: 55425072, 57068352, 57166140, 57247555, the BmBF for the projects: 16ES0350K, 02WQ1384A and the BmWI for the AIF-ZIM project: KF2837606NT3.

Publisher Copyright:
© 2018 IEEE.

    Research areas

  • Energy harvesting, energy management, IoT, power aware sensor, RF wireless energy transfer, vibration converters, wireless inductive power transfer, wireless sensor networks
  • Engineering

DOI

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