A power simulation tool for the optimization of wireless sensor nodes
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Accepted Version
Date
2024
Authors
Asthana, Prateek
Costanza, Mario
Ahern, Eoin.
Flannery, John
Geoghegan, Paul
Ingenito, Andrea
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published Version
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.
Description
Keywords
Wireless communication , Wireless sensor networks , Accuracy , Protocols , Batteries , Power system reliability , Reliability , Optimization , Context modeling , Testing , Simulation model , Battery life , System-level power consumption , Asset Tracking , Energy harvesting , IoT , Wireless sensor nodes
Citation
Asthana, P., Costanza, M., Ahern, E., Flannery, J., Geoghegan, P., Ingenito, A. and Hayes, M. (2024) ‘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), Tonsberg, Norway, 18-21 November , pp. 61–64. https://doi.org/10.1109/PowerMEMS63147.2024.10814224
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