![](/images/graphics-bg.png)
Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems
Joint Authors
Vračar, Ljubomir M.
Stojanović, Milan D.
Stanimirović, Aleksandar S.
Prijić, Zoran D.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Autonomous energy harvesting sensors present one of the most attractive areas of microelectronics at the moment.
They are a part of Internet of Things (IoT) systems so the data need to be protected across transmission.
One way for data protection is encryption and the other way is digital signature.
However, energy consumption of those systems is increased using protections algorithms, and it should be considered because these are energy harvesting systems.
The paper describes the ways in which data encryption and digital signature algorithms can be implemented in resource limited systems based on an 8-bit microcontroller.
Alongside the implementation method, the paper deals with the energy demands of the selected encryption algorithms and digital signatures.
The execution time, energy consumption, and memory consumption will be considered.
American Psychological Association (APA)
Vračar, Ljubomir M.& Stojanović, Milan D.& Stanimirović, Aleksandar S.& Prijić, Zoran D.. 2019. Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems. Journal of Sensors،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1191732
Modern Language Association (MLA)
Vračar, Ljubomir M.…[et al.]. Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems. Journal of Sensors No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1191732
American Medical Association (AMA)
Vračar, Ljubomir M.& Stojanović, Milan D.& Stanimirović, Aleksandar S.& Prijić, Zoran D.. Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1191732
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191732