5G Mobile Networks for Future Smart City
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 11581
Special Issue Editors
Interests: artificial intelligence; soft computing; bio-inspired computing; financial engineering; data mining
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things; body sensor network; wireless sensor network; 5G network
Interests: control; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: computer networks; wireless network; network security; blockchain and internet of things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Across the globe, populations in cities have been growing. To avoid overcrowding and the accompanying decrease in quality of life, it is essential to introduce the concept of the “smart city”. In order to enhance quality of life and manage resources, everything in a smart city is tightly connected via the Internet, from public facilities to municipal management systems. Municipal decision making can be supported by collecting various types of data from the Internet of Things (IoT), utilizing cloud or other types of storage equipment to share data, and conducting big data research to analyze relevant issues.
Given the vast amount of collected data saved by the IoT or residing in information storage, the public has grown increasingly concerned, demanding stricter security and privacy, with the expectation that the data provided will be appropriately protected by the city and the government. The currently available fifth generation (5G) network offers three features: vast broadband, ultra-low latency, and massive connectivity. These features enable any type of device—even single sensor equipment—to connect online and contribute data to the smart city system. To improve resource efficiency, all of the devices in a smart city system (e.g., transportation, medical care, electricity, disaster prevention) may use artificial intelligence to conduct big data analyses to better understand user traffic, logistics, and resource usage. Smart city systems can use high-performance technology such as cloud computing, fog computing, and high-consumption sensors to handle massive amounts of data in order to satisfy the demands of the public. However, the large number of sensors and Internet devices required to build a smart city system will consume a lot of energy. The development of intelligent green communication networks could reduce the energy consumption of the 5G network and increase the sustainability of the power equipment. Intelligent green communication networks could significantly reduce the number of smart city sensors and 5G network small cells, further supporting a high efficiency and low power consumption environment for a smart city.
Topics:
This Special Edition has inspired many experts and researchers in the fields of communications networks and information technology to present more ideas. Combining the concepts of the 5G network and intelligent green communication networks will allow for a wider range of more effective solutions for smart city systems. Topics appropriate for this Special Issue include:
- AI and machine learning for smart cities;
- Quality of service in 5G for smart cities;
- Next generation mobile network intelligent processing technologies;
- Software-defined networks in 5G for smart cities;
- Data transmission technology and applications for smart cities;
- Low-power encryption and decryption in 5G;
- Intelligent green communication network designs and implementations for smart cities;
- Security and privacy technologies for smart cities;
- NB-IoT designs and implementations for smart cities;
- Emerging Internet of Things applications for smart cities.
Manuscripts, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. Conference papers may be submitted only if they are completely re-written or substantially extended (more than 50%), and must be referenced.
Dr. Mu-Yen Chen
Dr. Mohammad Mehedi Hassan
Dr. Jose de Jesus Rubio
Dr. Hsin-Te Wu
Guest Editors
Manuscript Submission Information
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