Smart City Gnosys

Smart city article details

Title	Fundamentals Of Smart Cities
ID_Doc	27430
Authors	Quasim M.T.; Khan M.A.; Algarni F.; Alshahrani M.M.
Year	2021
Published	Lecture Notes in Intelligent Transportation and Infrastructure, Part F1386
DOI	http://dx.doi.org/10.1007/978-3-030-60922-1_1
Abstract	The concept of smart cities is getting popularity day by day. Many countries have started adopting the idea of smart city to improve the quality of life by achieving the recommended level of sustainable development. The smart city is a technologically advanced area which could understand the world by analyzing the data in order to improve living conditions. The underlying technology infrastructure of smart cities are wireless sensor network (WSN), Internet of thing (IoT), RFID, and 6G are among others. Along with the technology, the role of machine learning and data analytics can’t be ignored. The smart cities generate massive amount of data from the monitoring equipments and sensors. Big data analytics is one of the important technologies which is capable of improving intelligent urban facilities. In smart cities large amount of data is continuously received from many sensors, autonomous machines or intelligent IoT devices. The accurate prediction depends on the approaches of data analytics and machine learning techniques. This chapter presents fundamental of smart cities, vertical in smart cities and data analytics approaches. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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