DOI: 10.5281/zenodo.16881499
title: Simulation Outputs for the "DYNAMIC" Framework - Extended Dataset

description: This dataset contains simulation results data from the experiments presented in:



LOJDA, J.; STRNADEL, J.; SMRŽ, P.; ŠIMEK, V. Multi-Partner Project: LoLiPoP-IoT - Design and Simulation of Energy-Efficient Devices for the Internet of Things. 2025 Design, Automation & Test in Europe Conference (DATE) – Proceedings, Lyon: Institute of Electrical and Electronics Engineers, 2025, pp. 1–7. ISBN 978-3-9826741-0-0.


DOI: 10.5281/zenodo.16881500

1. Description

The dataset contains outputs from a discrete-event simulation (Python/SimPy) of a low-power IoT device. The experiments evaluate battery discharge under different load profiles and estimate the impact of photovoltaic (PV) panel sizing, both for static and dynamic energy-harvesting scenarios.

Simulated device characteristics:

The simulated device is an industrial Ultra-Wideband (UWB) localization tag developed within the LoLiPoP-IoT project. It is based on the nRF52833 microcontroller and the DW3110 UWB transceiver, supported by a TPS62840 power management IC (for a detailed specification, please see the above-cited publication). Two energy storage options are considered:



CR2032 primary lithium coin cell – capacity 2117 J (3 V–2 V)

LIR2032 rechargeable lithium coin cell – capacity 518 J (4.2 V–3 V)


In the baseline configuration, the tag transmits its location every 5 minutes, without additional power-saving optimizations. The simulation energy profile includes active and sleep states for both the MCU and the UWB module, PMIC quiescent consumption, and realistic conversion efficiency losses.

The device model serves as the basis for evaluating:



Battery discharge characteristics for primary and rechargeable cells

Sizing of photovoltaic panels for energy harvesting

Effects of dynamic power management strategies on battery life and operational latency


Battery types:



CR2032 primary cell - maximum energy capacity 2117 J

LIR2032 rechargeable cell - maximum energy capacity 518 J


Data format: <elapsed time in seconds>,<battery charge in J>

Experiment categories:



Device consumption tests - Baseline discharge curves for CR2032 and LIR2032 under constant load

Panel sizing tests - Static scenarios with PV panel areas ranging from 20 cm² to 40 cm² (PV area is always part of the filename)

Dynamic planning tests - Adaptive energy management with PV areas from 5 cm² to 30 cm² (PV area is always part of the filename)


2. File Contents

Files are grouped in three directories:




Directory
Description
Example files




1_device_consumption
Battery discharge profiles without PV charging
a_cr2032.csv and b_lir2032.csv


2_panel_sizing
Static power planning tests (various PV sizes)
a_pv_area_20.csv - i_pv_area_40.csv


3_dynamic_planning
Dynamic power planning tests (various PV sizes)
a_pv_area_5_dyna.csv - j_pv_area_30_dyna.csv




3. CSV File Format

Each .csv file contains comma-separated values:



Elapsed Time (s) – Seconds since the beginning of the experiment.

Battery Charge (J) – Current battery state of charge in joules.


Maximum capacity references for simulated batteries:



CR2032 = 2117 J

LIR2032 = 518 J


4. Relation to the Publication

The original publication focuses on the design of power-efficient and green IoT devices. This dataset provides detailed information that was used to create charts in Figures 1 and 4 and Table 1. It contains:



Raw consumption profiles for two coin-cell battery types,

PV sizing analysis for a range of panel areas,

performance of a dynamic power planning strategy.


Researchers can use these data to:



Reproduce PV sizing and battery depletion plots,

compare static vs. dynamic power planning, and

potentially validate simulation setups for other IoT scenarios.


5. Licensing

The dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

6. Citation

If you use this dataset, please cite both the dataset DOI and the original paper.

Dataset citation (example):



LOJDA, J., STRNADEL, J., SMRŽ, P., ŠIMEK, V. Simulation Outputs for the DYNAMIC Framework - Extended Dataset [Data set]. Zenodo. DOI: 10.5281/zenodo.16881500.


Paper citation (example):



LOJDA, J.; STRNADEL, J.; SMRŽ, P.; ŠIMEK, V. Multi-Partner Project: LoLiPoP-IoT - Design and Simulation of Energy-Efficient Devices for the Internet of Things. 2025 Design, Automation & Test in Europe Conference (DATE) – Proceedings. Lyon: IEEE, 2025. p. 1–7. ISBN 978-3-9826741-0-0.


7. Acknowledgements

This dataset was created as part of the LoLiPoP-IoT project (Long Life Power Platforms for Internet of Things, www.lolipop-iot.eu), grant agreement No. 101112286, jointly funded by the Chips Joint Undertaking and national public authorities.

8. Contact

For questions or further information, please contact:

Jakub LojdaEmail: ilojda@fit.vut.czFaculty of Information Technology, Brno University of TechnologyBozetechova 2, 612 66 Brno, Czech Republic