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

Journal of Sensors

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

Civil Engineering

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