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Accurate online energy consumption estimation of IoT devices using energest

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Abstract
Minimizing the energy consumption of Internet of Things (IoT) devices is one of the biggest challenges and crucial issues for the future of a sustainable IoT vision. In order to estimate the remaining device lifetime and optimize its energy consumption, it is necessary to have an accurate online view on the consumed energy with minimal over-head. This is non-trivial, as many factors influence energy consumption, therefore requiring a generic measurement methodology. For example, the Medium Access Control (MAC) protocols have a very important influence on the energy consumption. This paper presents an accurate method for estimating the energy consumption of IoT devices using Energest. Our method combines a device-specific offline profiling phase, with a device and protocol-agnostic online energy estimation methodology. Energy measurements have been performed for different scenarios, using measured values and values from the datasheet, for Carrier Sense Multiple Access (CSMA) and Time Slotted Channel Hopping (TSCH) protocols. Results show that the accuracy of our method is very high, more than 96% for CSMA and more than 82% for TSCH, with very small overhead of 0.11%.
Keywords
IoT, Energest, Energy estimation, Zolertia RE-Mote, CSMA, TSCH

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MLA
Sabovic, Adnan, et al. “Accurate Online Energy Consumption Estimation of IoT Devices Using Energest.” ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS, edited by L Barolli et al., vol. 97, Springer, 2020, pp. 363–73, doi:10.1007/978-3-030-33506-9_32.
APA
Sabovic, A., Delgado, C., Bauwens, J., De Poorter, E., & Famaey, J. (2020). Accurate online energy consumption estimation of IoT devices using energest. In L. Barolli, P. Hellinckx, & T. Enokido (Eds.), ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS (Vol. 97, pp. 363–373). https://doi.org/10.1007/978-3-030-33506-9_32
Chicago author-date
Sabovic, Adnan, Carmen Delgado, Jan Bauwens, Eli De Poorter, and Jeroen Famaey. 2020. “Accurate Online Energy Consumption Estimation of IoT Devices Using Energest.” In ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS, edited by L Barolli, P Hellinckx, and T Enokido, 97:363–73. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-33506-9_32.
Chicago author-date (all authors)
Sabovic, Adnan, Carmen Delgado, Jan Bauwens, Eli De Poorter, and Jeroen Famaey. 2020. “Accurate Online Energy Consumption Estimation of IoT Devices Using Energest.” In ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS, ed by. L Barolli, P Hellinckx, and T Enokido, 97:363–373. Cham, Switzerland: Springer. doi:10.1007/978-3-030-33506-9_32.
Vancouver
1.
Sabovic A, Delgado C, Bauwens J, De Poorter E, Famaey J. Accurate online energy consumption estimation of IoT devices using energest. In: Barolli L, Hellinckx P, Enokido T, editors. ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS. Cham, Switzerland: Springer; 2020. p. 363–73.
IEEE
[1]
A. Sabovic, C. Delgado, J. Bauwens, E. De Poorter, and J. Famaey, “Accurate online energy consumption estimation of IoT devices using energest,” in ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS, Univ Antwerp, Antwerp, BELGIUM, 2020, vol. 97, pp. 363–373.
@inproceedings{8679286,
  abstract     = {{Minimizing the energy consumption of Internet of Things (IoT) devices is one of the biggest challenges and crucial issues for the future of a sustainable IoT vision. In order to estimate the remaining device lifetime and optimize its energy consumption, it is necessary to have an accurate online view on the consumed energy with minimal over-head. This is non-trivial, as many factors influence energy consumption, therefore requiring a generic measurement methodology. For example, the Medium Access Control (MAC) protocols have a very important influence on the energy consumption. This paper presents an accurate method for estimating the energy consumption of IoT devices using Energest. Our method combines a device-specific offline profiling phase, with a device and protocol-agnostic online energy estimation methodology. Energy measurements have been performed for different scenarios, using measured values and values from the datasheet, for Carrier Sense Multiple Access (CSMA) and Time Slotted Channel Hopping (TSCH) protocols. Results show that the accuracy of our method is very high, more than 96% for CSMA and more than 82% for TSCH, with very small overhead of 0.11%.}},
  author       = {{Sabovic, Adnan and Delgado, Carmen and Bauwens, Jan and De Poorter, Eli and Famaey, Jeroen}},
  booktitle    = {{ADVANCES ON BROAD-BAND WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS}},
  editor       = {{Barolli, L and Hellinckx, P and Enokido, T}},
  isbn         = {{9783030335052}},
  issn         = {{2367-3370}},
  keywords     = {{IoT,Energest,Energy estimation,Zolertia RE-Mote,CSMA,TSCH}},
  language     = {{eng}},
  location     = {{Univ Antwerp, Antwerp, BELGIUM}},
  pages        = {{363--373}},
  publisher    = {{Springer}},
  title        = {{Accurate online energy consumption estimation of IoT devices using energest}},
  url          = {{http://doi.org/10.1007/978-3-030-33506-9_32}},
  volume       = {{97}},
  year         = {{2020}},
}

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