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Dynamic Data Enhancing Battery Efficiency Through Collection Scheduling in IQRF Wireless Sensor Networks Cover

Dynamic Data Enhancing Battery Efficiency Through Collection Scheduling in IQRF Wireless Sensor Networks

Acta Electrotechnica et Informatica
Volume 23 (2023): Issue 4 (December 2023)
By: Gergely Sebestyen and  József Kopjak  
Open Access
|Feb 2024

Authors

Gergely Sebestyen

sebestyen.gergely@kvk.uni-obuda.hu

Doctoral School of Applied Informatics and Applied Mathematics, Kandó Kálmán Faculty of Electrical Engineering, Óbuda University, Budapest, Hungary

József Kopjak

kopjak.jozsef@kvk.uni-obuda.hu

Kandó Kálmán Faculty of Electrical Engineering, Óbuda University, Budapest, Hungary
DOI: https://doi.org/10.2478/aei-2023-0016 | Journal eISSN: 1338-3957 | Journal ISSN: 1335-8243
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Language: English
Page range: 3 - 9
Submitted on: Jan 13, 2024
Accepted on: Feb 11, 2024
Published on: Feb 28, 2024
Published by: Technical University of Košice
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
IQRF,
FRC,
flooding routing,
wireless sensor network,
dynamic deep sleep,
dynamic data collecting schedule
Related subjects:
Computer sciences,
Information technology,
Databases and data mining,
Engineering,
Electrical engineering,
Information technology

© 2024 Gergely Sebestyen, József Kopjak, published by Technical University of Košice
This work is licensed under the Creative Commons Attribution 4.0 License.

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