Target Localization in Wireless Sensor Networks – Current Trends and Future Challenges
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (30 March 2023) | Viewed by 6894
Special Issue Editors
Interests: target localization; non-convex optimization
Special Issues, Collections and Topics in MDPI journals
2. Center of Technology and Systems (UNINOVA-CTS) and Associated Laboratory of Intelligent Systems (LASI), Caparica, Portugal
Interests: embedded artificial intelligence; soft computing; embedded systems; computer architecture
Special Issues, Collections and Topics in MDPI journals
Interests: wireless sensor networks; cognitive radio; source localization; PAPR reduction; MIMO communications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The emerging fifth generation (5G) network will have the capacity to join myriads of miscellaneous devices (users, objects, and vehicles) into a single network (of sensors), known as the Internet-of-Things (IoT). The key issue in many sensor network applications (e.g., user-personalized location-based services, location-aware interference mitigation, power, and latency optimized end-to-end communications) is to accurately determine the position of a source. For decades, the global positioning system (GPS) has been the paramount scheme for positioning, but it is often impractical to equip each sensor with a GPS chip, not to mention the constrained service in urban and indoor environments. Therefore, alternative (terrestrial) solutions have begun to garner attention.
Previously, advances in wireless localization and communication techniques have been performed separately. This is expected to change in 5G networks, where large bandwidths and dense access point deployment are foreseen to enable higher localization accuracy with low energy consumption. Although such accomplishments favor all participants in the localization chain (end users, network operators, and location service providers), they might raise security issues. This is because most localization systems are designed for harmless settings without the presence of adversaries. This makes them vulnerable to threats from interference, attacks, or even unintentional errors (malfunctions). Therefore, an additional requirement for future localization systems is that the estimation process is carried out securely in order to avoid disastrous consequences with possible casualties.
Topics of Interest
- 5G and beyond wireless localization;
- Machine Learning and Artificial Intelligence for localization systems;
- Security, data privacy, and trust of localization systems;
- UAV-Assisted localization;
- Novel applications of localization and tracking;
- Software/Hardware codesign for localization systems;
- Edge and fog computing for localization Systems;
- Internet-of-Things based localization Systems;
- Energy-efficient localization and tracking;
- Localization systems based on low power networks;
- Single and multiple target localization;
- Range-based and range-free localization;
- Acoustic and underwater localization;
- Light-based localization;
- Hybrid localization;
- Collaborative localization and mapping;
- Distributed localization;
- Benchmarking localization performance in wireless networks;
- Target tracking;
- UAV navigation and Wi-Fly networks;
- Localization based on stochastic geometry.
Prof. Slavisa Tomic
Dr. Sergio Correia
Prof. Dr. Marko Beko
Guest Editors
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