Wireless Sensor Networks for Intelligent Localization
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 182
Special Issue Editors
Interests: source localization; statistical singal processing; convex optimization
Special Issues, Collections and Topics in MDPI journals
Interests: radar
Interests: array signal processing; MIMO radar; passive localization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In wireless sensor networks (WSNs), localization is one of the most important technologies since it plays a critical role in both military and civilization fields, such as in military surveillance, habitat monitoring, the Internet of things and wildlife tracking. To meet the requirements of low cost, low power, selectivity and high accuracy simultaneously, millimeter-wave/terahertz, massive/large-scale sensor node, efficient multi-sensor fusion and magnitude-only sensor techniques have been investigated in WSNs in recent years. However, these techniques not only bring competitive solutions and/or possible candidates but also bring many challenges, for example: the challenging problems of localization in complex propagation channel or non-line-of-sight (NLOS) transmission scenarios due to obstruction, high-efficiency NLOS ranging error mitigation, and localization with magnitude-only output data of sensors, etc. This Special Issue invites authors from academia and industry to contribute high-quality original research on the topic of “Intelligent Localization and Its Implementation in Various Applications”, with submissions expected to offer clear and novel findings in algorithm design or engineering applications. The scope of this Special Issue includes theoretical and experimental studies that contribute to novel developments in fundamental research and its applications. Topics of interest include but are not limited to:
- Acoustic localization for WSNs
- Localization for underwater WSNs
- Localization in IoT-enabled WSNs
- Artificial-intelligence-based localization
- Machine learning methods for localization in WSNs
- Cooperative localization (including unmanned aerial vehicles assisted localization and reconfigurable intelligent surface-assisted localization)
- Localization for large-scale WSNs
- Non-coherent localization in WSNs
- Multi-sensor fusion for localization in WSNs
- Localization for intelligent transportation systems
- Localization applications for various scenarios of WSNs
Prof. Dr. Gang Wang
Prof. Dr. Lei Huang
Dr. Hua Chen
Dr. Ye Tian
Guest Editors
Manuscript Submission Information
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