An Energy-Aware RIoT System: Analysis, Modeling and Prediction in the SUPERIOT Framework
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915107391406080 |
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| author | Bocus, Mohammud J. Hakkinen, Juha Fontes, Helder Drzewiecki, Marcin Qiu, Senhui Eder, Kerstin Piechocki, Robert |
| author_facet | Bocus, Mohammud J. Hakkinen, Juha Fontes, Helder Drzewiecki, Marcin Qiu, Senhui Eder, Kerstin Piechocki, Robert |
| contents | This paper presents a comprehensive analysis of the energy consumption characteristics of a Silicon (Si)-based Reconfigurable IoT (RIoT) node developed in the initial phase of the SUPERIOT project, focusing on key operating states, including Bluetooth Low Energy (BLE) communication, Narrow-Band Visible Light Communication (NBVLC), sensing, and E-ink display. Extensive measurements were conducted to establish a detailed energy profile, which serves as a benchmark for evaluating the effectiveness of subsequent optimizations and future node iterations. To minimize the energy consumption, multiple optimizations were implemented at both the software and hardware levels, achieving a reduction of over 60% in total energy usage through software modifications alone. Further improvements were realized by optimizing the E-ink display driving waveform and implementing a very low-power mode for non-communication activities. Based on the measured data, three measurement-based energy consumption models were developed to characterize the energy behavior of the node under: (i) normal, unoptimized operation, (ii) low-power, software-optimized operation, and (iii) very low-power, hardware-optimized operation. These models, validated with new measurement data, achieved an accuracy exceeding 97%, confirming their reliability for predicting energy consumption in diverse configurations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_10093 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | An Energy-Aware RIoT System: Analysis, Modeling and Prediction in the SUPERIOT Framework Bocus, Mohammud J. Hakkinen, Juha Fontes, Helder Drzewiecki, Marcin Qiu, Senhui Eder, Kerstin Piechocki, Robert Emerging Technologies Hardware Architecture Networking and Internet Architecture Performance Systems and Control This paper presents a comprehensive analysis of the energy consumption characteristics of a Silicon (Si)-based Reconfigurable IoT (RIoT) node developed in the initial phase of the SUPERIOT project, focusing on key operating states, including Bluetooth Low Energy (BLE) communication, Narrow-Band Visible Light Communication (NBVLC), sensing, and E-ink display. Extensive measurements were conducted to establish a detailed energy profile, which serves as a benchmark for evaluating the effectiveness of subsequent optimizations and future node iterations. To minimize the energy consumption, multiple optimizations were implemented at both the software and hardware levels, achieving a reduction of over 60% in total energy usage through software modifications alone. Further improvements were realized by optimizing the E-ink display driving waveform and implementing a very low-power mode for non-communication activities. Based on the measured data, three measurement-based energy consumption models were developed to characterize the energy behavior of the node under: (i) normal, unoptimized operation, (ii) low-power, software-optimized operation, and (iii) very low-power, hardware-optimized operation. These models, validated with new measurement data, achieved an accuracy exceeding 97%, confirming their reliability for predicting energy consumption in diverse configurations. |
| title | An Energy-Aware RIoT System: Analysis, Modeling and Prediction in the SUPERIOT Framework |
| topic | Emerging Technologies Hardware Architecture Networking and Internet Architecture Performance Systems and Control |
| url | https://arxiv.org/abs/2501.10093 |