Localization Technologies
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 5743
Special Issue Editors
Interests: cellular networks; wireless industrial communications; machine learning; IoT; big data analytics; wireless network testbeds; wireless network simulation; robotics
Special Issues, Collections and Topics in MDPI journals
Interests: beyond 5G/6G wireless systems; industrial IoT; machine type communications; URLLC
Special Issues, Collections and Topics in MDPI journals
Interests: 5G-NR based localization; UWB localization and ranging; 3GPP NTN standardization; drone based Ad-hoc communication; mission critical communications
Special Issues, Collections and Topics in MDPI journals
Interests: 5G and B5G communication systems; localization and Sensing; cyber-physical systems; information fusion and analytics; statistical signal processing; probabilistic programming.
Special Issue Information
Dear Colleagues,
Portable computing and portable communications are rapidly becoming the norm in the market of electronic systems. As a consequence of this, an ecosystem of applications that are somehow linked to location is growing, both in the market and in academia. A broad range of vertical sectors benefit from these applications, such as the manufacturing industry, Smart Cities, travel services or autonomous vehicles. At the core of these applications resides a set of technologies that exploit diverse resources in order to provide a reliable location. However, providing location is not a trivial problem, nor does it come at a low cost. Therefore, location is currently a hot topic in the research community. It is also a very broad topic, both in use cases and technologies that are exploited to provide location: satellite-based systems, wireless network location, sensors, video-based location (which is often intertwined with object recognition), etc. This Special Issue aims at providing a multi-disciplinary picture of the current state of location technologies. Contributions that describe and characterize novel use cases for location technologies, analyze current and emerging technologies, propose improvements on already existing solutions with techniques, such as Machine Learning and Artificial Intelligence, or that propose radical new approaches, based on novel devices, are welcome.
Dr. Emil J. Khatib
Dr. Nurul Huda Mahmood
Dr. Mythri Hunukumbure
Dr. Carlos Morais de Lima
Guest Editors
Manuscript Submission Information
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Keywords
- Location technologies, Location awareness
- Location tracking
- Wireless networks
- Artificial Intelligence
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