Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems

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....

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Main Authors: Ljubomir M. Vračar, Milan D. Stojanović, Aleksandar S. Stanimirović, Zoran D. Prijić
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2019/8520562
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spelling doaj-44aca827a6c84da7a3e5a574cc987a782020-11-24T23:59:51ZengHindawi LimitedJournal of Sensors1687-725X1687-72682019-01-01201910.1155/2019/85205628520562Influence of Encryption Algorithms on Power Consumption in Energy Harvesting SystemsLjubomir M. Vračar0Milan D. Stojanović1Aleksandar S. Stanimirović2Zoran D. Prijić3Department of Microelectronics, University of Niš, Faculty of Electronic Engineering, Niš, SerbiaDepartment of Microelectronics, University of Niš, Faculty of Electronic Engineering, Niš, SerbiaDepartment of Computer Science, University of Niš, Faculty of Electronic Engineering, Niš, SerbiaDepartment of Microelectronics, University of Niš, Faculty of Electronic Engineering, Niš, SerbiaAutonomous 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.http://dx.doi.org/10.1155/2019/8520562
collection DOAJ
language English
format Article
sources DOAJ
author Ljubomir M. Vračar
Milan D. Stojanović
Aleksandar S. Stanimirović
Zoran D. Prijić
spellingShingle Ljubomir M. Vračar
Milan D. Stojanović
Aleksandar S. Stanimirović
Zoran D. Prijić
Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems
Journal of Sensors
author_facet Ljubomir M. Vračar
Milan D. Stojanović
Aleksandar S. Stanimirović
Zoran D. Prijić
author_sort Ljubomir M. Vračar
title Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems
title_short Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems
title_full Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems
title_fullStr Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems
title_full_unstemmed Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems
title_sort influence of encryption algorithms on power consumption in energy harvesting systems
publisher Hindawi Limited
series Journal of Sensors
issn 1687-725X
1687-7268
publishDate 2019-01-01
description 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.
url http://dx.doi.org/10.1155/2019/8520562
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