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A multimodal localization framework design for IoT applications

(2020) SENSORS. 20(16).
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Abstract
Multiple Radio Access Technology (multi-RAT) communication with Low Power Wide Area Networks (LPWAN) significantly increases the flexibility of Internet of Things (IoT) applications. Location-based services that build upon such a multimodal communication architecture are able to switch to an optimal localization method depending on the constraints of the active wireless technology. Furthermore, the resulting location estimate can aid location-based handover mechanisms to reduce the energy consumption of a multi-RAT IoT device. In this research, we present our design of a multimodal localization framework and illustrate the benefit of such a framework with two IoT use case examples. For the first use case, valuable artwork is tracked during transportation to a museum. In the second use case, we monitor the usage and location of large construction tools. Finally, we propose how our localization framework can be improved to deal with implementation challenges and to reduce location estimation errors.
Keywords
IoT, multi-RAT, multimodal, localization, LPWAN

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Citation

Please use this url to cite or link to this publication:

MLA
Aernouts, Michiel, et al. “A Multimodal Localization Framework Design for IoT Applications.” SENSORS, vol. 20, no. 16, Mdpi, 2020, doi:10.3390/s20164622.
APA
Aernouts, M., Lemic, F., Moons, B., Famaey, J., Hoebeke, J., Weyn, M., & Berkvens, R. (2020). A multimodal localization framework design for IoT applications. SENSORS, 20(16). https://doi.org/10.3390/s20164622
Chicago author-date
Aernouts, Michiel, Filip Lemic, Bart Moons, Jeroen Famaey, Jeroen Hoebeke, Maarten Weyn, and Rafael Berkvens. 2020. “A Multimodal Localization Framework Design for IoT Applications.” SENSORS 20 (16). https://doi.org/10.3390/s20164622.
Chicago author-date (all authors)
Aernouts, Michiel, Filip Lemic, Bart Moons, Jeroen Famaey, Jeroen Hoebeke, Maarten Weyn, and Rafael Berkvens. 2020. “A Multimodal Localization Framework Design for IoT Applications.” SENSORS 20 (16). doi:10.3390/s20164622.
Vancouver
1.
Aernouts M, Lemic F, Moons B, Famaey J, Hoebeke J, Weyn M, et al. A multimodal localization framework design for IoT applications. SENSORS. 2020;20(16).
IEEE
[1]
M. Aernouts et al., “A multimodal localization framework design for IoT applications,” SENSORS, vol. 20, no. 16, 2020.
@article{8674929,
  abstract     = {Multiple Radio Access Technology (multi-RAT) communication with Low Power Wide Area Networks (LPWAN) significantly increases the flexibility of Internet of Things (IoT) applications. Location-based services that build upon such a multimodal communication architecture are able to switch to an optimal localization method depending on the constraints of the active wireless technology. Furthermore, the resulting location estimate can aid location-based handover mechanisms to reduce the energy consumption of a multi-RAT IoT device. In this research, we present our design of a multimodal localization framework and illustrate the benefit of such a framework with two IoT use case examples. For the first use case, valuable artwork is tracked during transportation to a museum. In the second use case, we monitor the usage and location of large construction tools. Finally, we propose how our localization framework can be improved to deal with implementation challenges and to reduce location estimation errors.},
  articleno    = {4622},
  author       = {Aernouts, Michiel and Lemic, Filip and Moons, Bart and Famaey, Jeroen and Hoebeke, Jeroen and Weyn, Maarten and Berkvens, Rafael},
  issn         = {1424-8220},
  journal      = {SENSORS},
  keywords     = {IoT,multi-RAT,multimodal,localization,LPWAN},
  language     = {eng},
  number       = {16},
  pages        = {15},
  publisher    = {Mdpi},
  title        = {A multimodal localization framework design for IoT applications},
  url          = {http://dx.doi.org/10.3390/s20164622},
  volume       = {20},
  year         = {2020},
}

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