Location-Based Technologies and Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 2804
Special Issue Editors
Interests: location-based services; service discovery protocols; IoT communications protocols; user mobility modeling and prediction
Interests: user mobility modeling and prediction; location-based services; IoT; transport and application layer protocols; performance evaluation of communication protocols; service discovery and composition; traffic modeling in communication networks.
Special Issue Information
Dear Colleagues,
Many applications benefit from knowing the location of users. Some examples of these applications are navigation and tracking systems, search for nearby points of interest, augmented reality games and other infotainment systems, urban planning, emergency management, etc. The location used by these applications can be obtained using different technologies with different levels of precision: GPS in personal devices, base station or access point-based positioning in cellular o WiFi networks, Bluetooth or NFC beacons, analysis of the posts in geolocated social media, etc. Some applications go further by trying to understand the characteristics of human mobility and to predict future movements of the user or a population. Although the benefits of these systems are undoubted, it is true that the security and, above all, the privacy of users is compromised, so finding solutions that strike a balance between privacy and service level is essential.
This Special Issue will provide an updated overview of location technologies and location-based services, from the analysis, design, and development of solutions to obtain the location of users, to the description and validation of final systems that use these locations to provide advanced services. Topics of interest include, but are not limited to, the following:
- Indoor/outdoor location systems.
- Location in 5G networks.
- Personalization and context-awareness in location-based applications.
- Security, usability, and privacy in location-based systems.
- Human mobility modeling and prediction.
- Use of information from geolocated social networks.
Prof. Dr. Celeste CampoProf. Dr. Carlos García-Rubio
Guest Editors
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Keywords
- Indoor/outdoor location systems
- location-aware applications
- security
- usability and privacy issues in location-based systems
- human mobility modeling and prediction
- use of location information from geolocated social networks.
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