Research on Energy Efficiency of Wi-Fi IoT Systems on Renesas DA16200 Platform
This research focuses on a comprehensive analysis of the energy efficiency of the Renesas DA16200 microcontroller. The investigation adopts a comparative approach, directly contrasting the power consumption of the DA16200 with the widely used ESP8266 controller under identical operating conditions....
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Anhalt University of Applied Sciences
2024-03-01
|
| Series: | Proceedings of the International Conference on Applied Innovations in IT |
| Subjects: | |
| Online Access: | https://icaiit.org/paper.php?paper=12th_ICAIIT_1/2_11 |
| _version_ | 1797201577989111808 |
|---|---|
| author | Serhii Kondratiev Daria Koshutina Olha Liubomska Illia Baskov |
| author_facet | Serhii Kondratiev Daria Koshutina Olha Liubomska Illia Baskov |
| author_sort | Serhii Kondratiev |
| collection | DOAJ |
| description | This research focuses on a comprehensive analysis of the energy efficiency of the Renesas DA16200 microcontroller. The investigation adopts a comparative approach, directly contrasting the power consumption of the DA16200 with the widely used ESP8266 controller under identical operating conditions. The primary metric employed to assess energy efficiency is average battery life. Additionally, a detailed examination of current consumption is conducted across various operational modes, encompassing active states like data exchange, reception, and transmission, as well as low-power sleep mode. This analysis extends beyond simply measuring peak current draw. Transient current profiles are captured, providing time-resolved insights into how current consumption fluctuates throughout different operational phases. This granular data enables a deeper understanding of the microcontrollers' energy utilization patterns. Furthermore, the research explores and evaluates techniques for minimizing energy consumption specifically in the ESP8266. These findings are then juxtaposed against the inherent energy-saving features of the DA16200 microcontroller. To facilitate a precise and verifiable comparison, a custom test bench accommodating both the DA16200 and ESP8266 is designed and implemented. This controlled environment ensures consistency in operating conditions and minimizes external variables that could influence the results. The culmination of this research is the presentation of a comprehensive analysis, detailing the comparative energy consumption profiles of the studied microcontrollers. This data forms the foundation for objectively evaluating their suitability for various low-power the Internet of Things applications. |
| first_indexed | 2024-04-24T07:49:46Z |
| format | Article |
| id | doaj.art-252c0a7884864bcf8aecb7ed50bf5ee1 |
| institution | Directory Open Access Journal |
| issn | 2199-8876 |
| language | English |
| last_indexed | 2024-04-24T07:49:46Z |
| publishDate | 2024-03-01 |
| publisher | Anhalt University of Applied Sciences |
| record_format | Article |
| series | Proceedings of the International Conference on Applied Innovations in IT |
| spelling | doaj.art-252c0a7884864bcf8aecb7ed50bf5ee12024-04-18T13:03:41ZengAnhalt University of Applied SciencesProceedings of the International Conference on Applied Innovations in IT2199-88762024-03-01121143148http://dx.doi.org/10.25673/115667Research on Energy Efficiency of Wi-Fi IoT Systems on Renesas DA16200 PlatformSerhii Kondratiev0https://orcid.org/0000-0003-4975-5757Daria Koshutina1https://orcid.org/0009-0004-1326-8775Olha Liubomska2https://orcid.org/0009-0004-3291-7590Illia Baskov3https://orcid.org/0000-0002-3517-6773National University Odesa Polytechnic, Shevchenko Avenue 1, 65044 Odesa, UkraineNational University Odesa Polytechnic, Shevchenko Avenue 1, 65044 Odesa, UkraineNational University Odesa Polytechnic, Shevchenko Avenue 1, 65044 Odesa, UkraineNational University Odesa Polytechnic, Shevchenko Avenue 1, 65044 Odesa, UkraineThis research focuses on a comprehensive analysis of the energy efficiency of the Renesas DA16200 microcontroller. The investigation adopts a comparative approach, directly contrasting the power consumption of the DA16200 with the widely used ESP8266 controller under identical operating conditions. The primary metric employed to assess energy efficiency is average battery life. Additionally, a detailed examination of current consumption is conducted across various operational modes, encompassing active states like data exchange, reception, and transmission, as well as low-power sleep mode. This analysis extends beyond simply measuring peak current draw. Transient current profiles are captured, providing time-resolved insights into how current consumption fluctuates throughout different operational phases. This granular data enables a deeper understanding of the microcontrollers' energy utilization patterns. Furthermore, the research explores and evaluates techniques for minimizing energy consumption specifically in the ESP8266. These findings are then juxtaposed against the inherent energy-saving features of the DA16200 microcontroller. To facilitate a precise and verifiable comparison, a custom test bench accommodating both the DA16200 and ESP8266 is designed and implemented. This controlled environment ensures consistency in operating conditions and minimizes external variables that could influence the results. The culmination of this research is the presentation of a comprehensive analysis, detailing the comparative energy consumption profiles of the studied microcontrollers. This data forms the foundation for objectively evaluating their suitability for various low-power the Internet of Things applications.https://icaiit.org/paper.php?paper=12th_ICAIIT_1/2_11internet of thingswifienergy efficiencycontrollerrenesasda16200esp8266esp32comparative analysispower consumptioncrystal-on-chip microcontrollers |
| spellingShingle | Serhii Kondratiev Daria Koshutina Olha Liubomska Illia Baskov Research on Energy Efficiency of Wi-Fi IoT Systems on Renesas DA16200 Platform Proceedings of the International Conference on Applied Innovations in IT internet of things wifi energy efficiency controller renesas da16200 esp8266 esp32 comparative analysis power consumption crystal-on-chip microcontrollers |
| title | Research on Energy Efficiency of Wi-Fi IoT Systems on Renesas DA16200 Platform |
| title_full | Research on Energy Efficiency of Wi-Fi IoT Systems on Renesas DA16200 Platform |
| title_fullStr | Research on Energy Efficiency of Wi-Fi IoT Systems on Renesas DA16200 Platform |
| title_full_unstemmed | Research on Energy Efficiency of Wi-Fi IoT Systems on Renesas DA16200 Platform |
| title_short | Research on Energy Efficiency of Wi-Fi IoT Systems on Renesas DA16200 Platform |
| title_sort | research on energy efficiency of wi fi iot systems on renesas da16200 platform |
| topic | internet of things wifi energy efficiency controller renesas da16200 esp8266 esp32 comparative analysis power consumption crystal-on-chip microcontrollers |
| url | https://icaiit.org/paper.php?paper=12th_ICAIIT_1/2_11 |
| work_keys_str_mv | AT serhiikondratiev researchonenergyefficiencyofwifiiotsystemsonrenesasda16200platform AT dariakoshutina researchonenergyefficiencyofwifiiotsystemsonrenesasda16200platform AT olhaliubomska researchonenergyefficiencyofwifiiotsystemsonrenesasda16200platform AT illiabaskov researchonenergyefficiencyofwifiiotsystemsonrenesasda16200platform |