Wireless Sensor Network, Smart Grid & Analytic Considerations for Smart Cities and Environmental Sustainability
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 20 October 2024 | Viewed by 5551
Special Issue Editors
Interests: smart city; sensor networks; health informatics; artificial intelligence and machine learning; Internet of Things
Interests: mechatronics; Internet of Things; control systems; artificial intelligence and machine learning
Interests: data science; AI; computational intelligence; intelligent systems; smart infrastructure; cybersecurity; digital education; digital society; digital economy
Interests: smart grids; future power grids; control theory; distribution systems; energy management
Interests: Internet of Things; machine learning; data analytics; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A smart city implements a wide range of electronic and digital technologies to communities and cities. Importantly these include wireless sensor networks that are capable of detecting states and events in the urban environment and intelligent and considered responses to this gathered data. Wireless sensor networks therefore play a foundational role in developing advanced techniques and implementing intelligent systems for smart cities. These intelligent responses are broad and include enhancing quality, performance and interactivity of urban services such as environmental monitoring and public health surveillance, reducing costs and resource consumption such as smart energy planning, or smart grids, and increasing contact between citizens and government. The latter raises many public policy and ethical considerations, related to gathering of data, algorithmic bias and privacy protecting of citizens. In relation to the analytics side there are real issues related to combining scalability, real-time processing, to develop subsequent decision making and recommender systems.
This Special Issue aims to address important features of these different layers within smart cities, focusing on the sensors, and data mining for decision support systems and recommender systems, which include use cases such as smart grids and environmental factors, without compromising privacy and ethical considerations. It solicits the state-of-the-art theoretical, as well as practical works on a broad range of issues important for sensor-analytic smart cities for researchers, developers, and practitioners from both academia and industry.
Topics of primary interest include, but are not limited to:
- Wireless Sensor Networks
- Decision support systems for smart cities
- Smart Grid
- Analytic Considerations for Smart Cities
- Environmental Sustainability
- Ethical and public policy issues of AI applications for development of smart cities
- Ethical and public policy issues related to wifi-sensing
- Crime prevention and detection in smart cities
- Human AI interaction for smart city
- Energy economics and security for smart city
- Cyber security considerations in smart city
- Smart grids,
- Future Power Grids (i.e., Renewable energy integration, wide-area control).
- Asynchronous Grid Connection through VSC-HVDC.
- Power System Stability and Dynamics.
- Application of Data Mining in Power System.
- Application of Control Theory in Power System.
- Distribution System Energy Management and low carbon energy system.
- Smart microgrid for smart cities
- Energy storage solutions for smart city
- Sustainable energy management practices for smart city
- Intelligent energy monitoring
- Energy sustainability
Dr. Giles Oatley
Dr. Tanveer Choudhury
Prof. Dr. Tom Crick
Dr. Rakibuzzaman Shah
Prof. Dr. Joarder Kamruzzaman
Guest Editors
Manuscript Submission Information
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Keywords
- wireless sensor networks
- smart grids
- smart cities
- environmental sustainability
- cybersecurity
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Optimizing Spectrum Utilization for Ultra-Reliable Low-Latency Communication (URLLC) in Healthcare IoT Networks: A Survey
Authors: Adeel Iqbal, Ali Nauman, Yazdan A, Qadri, Sung Won Kim
Affiliation: School of Computer Science and Engineering, Yeungnam University 38541, Republic of Korea.
Abstract: The massive deployment of IoT devices in healthcare facilities has improved healthcare for patients, features like continuous patient monitoring and real-time diagnostics are one of the few advantages of IoT. However, these features depend on Ultra-Reliable Low-Latency Communication (URLLC) to ensure that critical data is transmitted quickly, where any delay or loss of information can result in serious consequences. In his paper, we survey the challenges associated with optimizing spectrum utilizatio n in healthacre IoT networks, where there is a need for reliable, low-latency communication. The key challenges discussed in this work, include dynamic spectrum allocation, interference management, and the prioritization of critical medical devices. We have also discussed a few emerging solutions, such as AI-based spectrum management and the integration of advanced network architectures like Beyond 5G (B5G) and 6G, which offer promising avenues to address these issues. In this survey we have reviewed and synthesized the current research in this domain, identified gaps in existing approaches, and proposed directions for future work, particularly in enhancing the efficiency and reliability of URLLC in healthcare settings.