TY - JOUR
AU1 - Bocus, Mohammud J.
AU2 - Hakkinen, Juha
AU3 - Fontes, Helder
AU4 - Drzewiecki, Marcin
AU5 - Qiu, Senhui
AU6 - Eder, Kerstin
AU7 - Piechocki, Robert
AB - Abstract: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.
TI - An Energy-Aware RIoT System: Analysis, Modeling and Prediction in the SUPERIOT Framework
JF - Electrical Engineering and Systems Science
DO - 10.48550/arxiv.2501.10093
DA - 2025-01-17
UR - https://www.deepdyve.com/lp/arxiv-cornell-university/an-energy-aware-riot-system-analysis-modeling-and-prediction-in-the-TuqqmZex6e
VL - 2025
IS - 2501
DP - DeepDyve
ER -