Corpus ID: 235422489

iThing: Designing Next-Generation Things with Battery Health Self-Monitoring Capabilities for Sustainable IoT in Smart Cities

@article{Sinha2021iThingDN,
  title={iThing: Designing Next-Generation Things with Battery Health Self-Monitoring Capabilities for Sustainable IoT in Smart Cities},
  author={Aparna Sinha and Debanjan Das and Venkanna Udutalapally and Mukil Kumar Selvarajan and S. Mohanty},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.06678}
}
An accurate and reliable technique for predicting Remaining Useful Life (RUL) for battery cells proves helpful in battery-operated IoT devices, especially in remotely operated sensor nodes. Datadriven methods have proved to be the most effective methods until now. These IoT devices have low computational capabilities to save costs, but Data-Driven battery health techniques often require a comparatively large amount of computational power to predict SOH and RUL due to most methods being feature… Expand

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