January 2022
Intermediate to advanced
320 pages
9h 15m
English
Content preview from Cyberphysical Smart Cities Infrastructures
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2Data Analytics for Smart Cities: Challenges and Promises
Farid Ghareh Mohammadi1, Farzan Shenavarmasouleh1, M. Hadi Amini2, and Hamid Reza Arabnia1
1Department of Computer Science, Franklin College of Arts and Sciences, University of Georgia, Athens, Georgia
2Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, USA
2.1 Introduction
Motivation: The explosion of advancement in artificial intelligence (AI), sensor technologies like Internet of things (IoT), and wireless communication activates ubiquitous sensing through distributed sensors in various domains of networks that lead us to smart systems in healthcare, transportation, environment, and other relevant branches/networks. Having collaborative interaction among the smart systems connects end‐user devices to each other, enabling a new integrated entity called smart cities.
In the last decade, the IoT devices have been connected among different independent agents and heterogeneous networks as with communication technologies [1, 2]. The connected high‐performance sensors and end‐user devices, IoT, are the trigger leveraging the networks in transitioning from urban cities toward smart sustainable cities. The goal of smart cities is to address upcoming challenges of conventional cities by offering integrated management systems with a combination of intelligent infrastructures ...
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