Multiple Radio Access Technology (multi-RAT) communication with Low Power WideArea Networks (LPWAN) significantly increases the flexibility of Internet of Things (IoT) applications.Location-based services that build upon such a multimodal communication architecture are ableto switch to an optimal localization method depending on the constraints of the active wirelesstechnology. Furthermore, the resulting location estimate can aid location-based handover mechanismsto reduce the energy consumption of a multi-RAT IoT device. In this research, we present our designof a multimodal localization framework and illustrate the benefit of such a framework with twoIoT use case examples. For the first use case, valuable artwork is tracked during transportation toa 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 implementationchallenges and to reduce location estimation errors.
Michiel Aernouts, Maarten Weyn, Rafael Berkvens – IDLab – Faculty of Applied Engineering, University of Antwerp – imec, 2000 Antwerp, Belgium
Filip Lemic, Jeroen Famaey – IDLab – Department of Computer Science, University of Antwerp – imec, 2000 Antwerp, Belgium
Jeroen Hoebeke, Bart Moons – IDLab—Department of Information Technology, University of Ghent – imec, 9000 Ghent, Belgium
Sensors — Open Access Journal, 17 August, 2020
A Multimodal Localization Framework Design for IoT Applications