Wireless Indoor Localization Systems and Technologies in the Internet of Things

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 426

Special Issue Editor


E-Mail Website
Guest Editor
Department of Electronic Engineering and Computer Science, Kindai University, Higashi-Hiroshima 739-2116, Japan
Interests: electromagnetics; machine learning, measurement; indoor localization; wireless communications; body area network

Special Issue Information

Dear Colleagues,

Location-based services have already become indispensable in our daily lives. This is owing to global positioning systems, which usually become invalid inside buildings. The significance of location-based services that are valid also inside buildings will increase in the world brought about by future internet technologies. It is easy to imagine that wireless indoor localization technologies that can detect and track persons and things become indispensable in a full-blown era of the Internet of Things (IoT).

In terms of technical viewpoints, wireless indoor localization technologies have been investigated with several different means, such as radio waves, infrared rays, geomagnetic fields, and artificially-generated magnetic fields. To successfully utilize these localization technologies in applications of the coming IoT era, it is important to clearly understand advantages and current limitations of the various approaches. The purpose of this special issue is to circulate information of state-of-the-art wireless indoor localization technologies with the various approaches.

The scope of this special issue includes not only indoor localization systems but also their applications and underlying technologies such as sensing and signal processing. Furthermore, review articles are also welcome.

Dr. Ai-ichiro Sasaki
Guest Editor

Manuscript Submission Information

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Keywords

  • Bluetooth
  • geomagnetic fields
  • infrared
  • machine learning
  • magnetic fields
  • RFID
  • sensors
  • signal processing
  • UWB
  • WiFi
  • ZigBee

Published Papers

There is no accepted submissions to this special issue at this moment.
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