Advanced Localization and Motion Tracking with Dense Wireless Networks
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 10 May 2024 | Viewed by 1043
Special Issue Editors
Interests: device-free radio localization and activity recognition; signal processing and machine learning in wireless systems
Special Issues, Collections and Topics in MDPI journals
Interests: signal processing aspects of wireless communications systems; antenna array processing; channel estimation and tracking; MIMO-OFDM systems; cooperative communication; ad-hoc networking and wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Interests: software-defined radios; device-free radio localization and activity recognition; body models for device-free localization; signal processing and machine learning for communication systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Radio-based localization and motion tracking exploit the characteristics of the radio propagation of opportunity RF signals to find the position/posture of objects/people. Applications range from operator monitoring in smart factories to motion detection in assisted living and smart spaces settings. In smart environments, low-cost IoT sensors with limited computational and communication capabilities are typically distributed. Besides accuracy, the main challenges for employing object/people positioning and tracking systems in such environments are the design of ubiquitous, real-time, low-energy, and low-complexity algorithms. Joint computational and communication intelligence is the key to allow wireless sensor networks (WSN) facing the large-scale heterogeneous data distribution problem that arises from complexity vs. performance constraints imposed on conventional motion detection and localization systems. This Special Issue aims to put together original research and review articles on advanced algorithms and methods for object/people positioning and motion tracking based on emerging technologies in dense WSNs and their performance optimization.
Potential topics include but are not limited to:
- Device-free localization and motion tracking in human–machine shared workspace.
- RIS-aided localization in 6G and beyond networks.
- Edge-based localization in smart environments.
- Multisensory localization and motion tracking.
- AI methods for Localization/motion tracking in WSNs.
- Continuous localization/motion recognition for health monitoring.
- Cooperative localization in a dynamic environment.
- Advanced radio sensing, radio tomography and holography methods.
Dr. Sanaz Kianoush
Dr. Stefano Savazzi
Dr. Vittorio Rampa
Guest Editors
Manuscript Submission Information
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Keywords
- passive/active localization
- motion tracking
- IoT networks
- wireless sensor networks
- artificial intelligence
