A Power Simulation Tool for the Optimization of Wireless Sensor Nodes

Prateek Asthana; Mario Costanza; Eoin Ahern; John Flannery; Paul Geoghegan; Andrea Ingenito; Mike Hayes

doi:10.1109/PowerMEMS63147.2024.10814224

A Power Simulation Tool for the Optimization of Wireless Sensor Nodes

Prateek Asthana
, Mario Costanza
, Eoin Ahern
, John Flannery
, Paul Geoghegan
, Andrea Ingenito
, Mike Hayes

Tyndall IPES (Energy4IOT)

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

Optimization of system-level power consumption is key in extending battery-life in IoT Wireless Sensor Network (WSN) nodes. Early power analysis aids designers in making informed choices about components, design architectures, communication protocols, and battery capacity. This is particularly important when using Energy Harvesters (EH) to extend a node's battery-life or achieve full power autonomy. This work introduces a simulation tool for solar-powered Asset Tracking (AT) WSN nodes developed in the EU project Energy ECS. Using experimental data from partners CSEM and Net Feasa, the tool performs a step-by-step energy balance for an intermodal dry container during shipment, predicting the necessary EH and battery sizes for autonomy, while identifying power-hungry processes to optimize performance.

Original language	English
Title of host publication	2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	61-64
Number of pages	4
ISBN (Electronic)	9798350380200
DOIs	https://doi.org/10.1109/PowerMEMS63147.2024.10814224
Publication status	Published - 2024
Event	23rd IEEE International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024 - Tonsberg, Norway Duration: 18 Nov 2024 → 21 Nov 2024

Publication series

Name	2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024

Conference

Conference	23rd IEEE International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024
Country/Territory	Norway
City	Tonsberg
Period	18/11/24 → 21/11/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Asset Tracking
Battery life
Energy Harvesting
IoT
Simulation model
System-level power consumption
Wireless Sensor Nodes

Access to Document

10.1109/PowerMEMS63147.2024.10814224

Cite this

Asthana, P., Costanza, M., Ahern, E., Flannery, J., Geoghegan, P., Ingenito, A., & Hayes, M. (2024). A Power Simulation Tool for the Optimization of Wireless Sensor Nodes. In 2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024 (pp. 61-64). (2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PowerMEMS63147.2024.10814224

Asthana, Prateek ; Costanza, Mario ; Ahern, Eoin et al. / A Power Simulation Tool for the Optimization of Wireless Sensor Nodes. 2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 61-64 (2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024).

@inproceedings{f730363ac5544526a2bbc265a2dc9651,

title = "A Power Simulation Tool for the Optimization of Wireless Sensor Nodes",

abstract = "Optimization of system-level power consumption is key in extending battery-life in IoT Wireless Sensor Network (WSN) nodes. Early power analysis aids designers in making informed choices about components, design architectures, communication protocols, and battery capacity. This is particularly important when using Energy Harvesters (EH) to extend a node's battery-life or achieve full power autonomy. This work introduces a simulation tool for solar-powered Asset Tracking (AT) WSN nodes developed in the EU project Energy ECS. Using experimental data from partners CSEM and Net Feasa, the tool performs a step-by-step energy balance for an intermodal dry container during shipment, predicting the necessary EH and battery sizes for autonomy, while identifying power-hungry processes to optimize performance.",

keywords = "Asset Tracking, Battery life, Energy Harvesting, IoT, Simulation model, System-level power consumption, Wireless Sensor Nodes",

author = "Prateek Asthana and Mario Costanza and Eoin Ahern and John Flannery and Paul Geoghegan and Andrea Ingenito and Mike Hayes",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 23rd IEEE International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024 ; Conference date: 18-11-2024 Through 21-11-2024",

year = "2024",

doi = "10.1109/PowerMEMS63147.2024.10814224",

language = "English",

series = "2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "61--64",

booktitle = "2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024",

address = "United States",

}

Asthana, P, Costanza, M , Ahern, E, Flannery, J, Geoghegan, P, Ingenito, A & Hayes, M 2024, A Power Simulation Tool for the Optimization of Wireless Sensor Nodes. in 2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024. 2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024, Institute of Electrical and Electronics Engineers Inc., pp. 61-64, 23rd IEEE International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024, Tonsberg, Norway, 18/11/24. https://doi.org/10.1109/PowerMEMS63147.2024.10814224

A Power Simulation Tool for the Optimization of Wireless Sensor Nodes. / Asthana, Prateek; Costanza, Mario ; Ahern, Eoin et al.
2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 61-64 (2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - A Power Simulation Tool for the Optimization of Wireless Sensor Nodes

AU - Asthana, Prateek

AU - Costanza, Mario

AU - Ahern, Eoin

AU - Flannery, John

AU - Geoghegan, Paul

AU - Ingenito, Andrea

AU - Hayes, Mike

PY - 2024

Y1 - 2024

N2 - Optimization of system-level power consumption is key in extending battery-life in IoT Wireless Sensor Network (WSN) nodes. Early power analysis aids designers in making informed choices about components, design architectures, communication protocols, and battery capacity. This is particularly important when using Energy Harvesters (EH) to extend a node's battery-life or achieve full power autonomy. This work introduces a simulation tool for solar-powered Asset Tracking (AT) WSN nodes developed in the EU project Energy ECS. Using experimental data from partners CSEM and Net Feasa, the tool performs a step-by-step energy balance for an intermodal dry container during shipment, predicting the necessary EH and battery sizes for autonomy, while identifying power-hungry processes to optimize performance.

AB - Optimization of system-level power consumption is key in extending battery-life in IoT Wireless Sensor Network (WSN) nodes. Early power analysis aids designers in making informed choices about components, design architectures, communication protocols, and battery capacity. This is particularly important when using Energy Harvesters (EH) to extend a node's battery-life or achieve full power autonomy. This work introduces a simulation tool for solar-powered Asset Tracking (AT) WSN nodes developed in the EU project Energy ECS. Using experimental data from partners CSEM and Net Feasa, the tool performs a step-by-step energy balance for an intermodal dry container during shipment, predicting the necessary EH and battery sizes for autonomy, while identifying power-hungry processes to optimize performance.

KW - Asset Tracking

KW - Battery life

KW - Energy Harvesting

KW - IoT

KW - Simulation model

KW - System-level power consumption

KW - Wireless Sensor Nodes

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DO - 10.1109/PowerMEMS63147.2024.10814224

M3 - Conference proceeding

AN - SCOPUS:85216543734

T3 - 2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024

SP - 61

EP - 64

BT - 2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 23rd IEEE International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024

Y2 - 18 November 2024 through 21 November 2024

ER -

Asthana P, Costanza M , Ahern E, Flannery J, Geoghegan P, Ingenito A et al. A Power Simulation Tool for the Optimization of Wireless Sensor Nodes. In 2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 61-64. (2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024). doi: 10.1109/PowerMEMS63147.2024.10814224

A Power Simulation Tool for the Optimization of Wireless Sensor Nodes

Abstract

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UN SDGs

Keywords

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