Publication
Title
A multimodal localization framework design for IoT applications
Author
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.
Language
English
Source (journal)
Sensors. - -
Publication
2020
ISSN
1424-8220
DOI
10.3390/S20164622
Volume/pages
20 :16 (2020) , p. 1-15
Article Reference
4622
ISI
000564892000001
Pubmed ID
32824497
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Scalable Localization-enabled In-body Terahertz Nanonetwork (ScaleITN).
Intelligent Dense And Longe range IoT networks (IDEAL-IoT).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 02.09.2020
Last edited 03.12.2024
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