Advanced Localization Solutions in IoT Smart Industry: Innovation, Challenges, and Applications
A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Internet of Things (IoT) and Industrial IoT".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 449
Special Issue Editors
Interests: IoT; indoor localization; machine learning; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Interests: robot perception; smart manufacturing
Special Issue Information
Dear Colleagues,
The proliferation of Internet of Things (IoT) technologies has led to a paradigm shift in the way interconnected devices communicate, share data, and perform tasks autonomously. One of the key areas that has benefited significantly from the IoT revolution is localization and tracking. By leveraging the power of IoT, businesses and industries now have the capability to pinpoint the exact location of objects in real-time, enabling a wide range of applications such as asset tracking, indoor navigation, and smart logistics.
In logistics, the proficiency in pinpointing items and manoeuvring through intricate settings is of prime importance. IoT solutions and sophisticated sensor integration are instrumental in refining the pinpointing of goods within storage facilities. This leads to more streamlined robot motion planning and inventory oversight, guaranteeing precise movement and tracking of products throughout the supply chain.
This Special Issue will cover a broad spectrum of topics, including but not limited to:
- Indoor positioning algorithms and techniques
- Outdoor localization systems and technologies
- Advanced Sensor Fusion Techniques
- Real-Time Localization Systems
- Localization in Challenging Environments
- Applications in Autonomous Ground and Aerial Vehicles
- Environmental Monitoring and Disaster Response
- IoT-enabled tracking and monitoring solutions
- Machine Learning and AI in IoT Localization
- Energy-Efficient Localization Solutions
- Security, privacy and Ethical issues in IoT localization
In addition to technical aspects, this special issue also delves into the practical implications of IoT-enabled tracking and monitoring solutions, shedding light on how these technologies are reshaping industries such as healthcare, transportation, and manufacturing. Furthermore, discussions on security and privacy challenges in IoT localization, along with insights into the integration of machine learning and artificial intelligence, offer a comprehensive view of the current landscape and future directions in this exciting domain.
Through this special issue, we invite researchers, academics, and industry experts to contribute their original research, reviews, and case studies, fostering knowledge sharing and collaboration in the dynamic realm of IoT and localization.
Dr. Javad Rezazadeh
Dr. Reza Sabzevari
Dr. Ammara Khan
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- sensor fusion and wireless sensor networks (WSN)
- real-time tracking and positioning technologies
- autonomous navigation and robotic navigation systems
- GPS-denied localization and indoor positioning systems (IPS)
- simultaneous localization and mapping (SLAM)
- environmental sensing and disaster response robotics
- AI in localization and localization algorithms
- IoT data analytics and edge computing for IoT
- mobile robots and networked robotics
- smart sensors and IoT connectivity
- ubiquitous computing and IoT infrastructure
- spatial awareness and location-based services
- IoT security in localization and cyber-physical systems
- localization accuracy and intelligent transport systems
- IoT and robotics integration and localization in smart cities
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