The rapid advancement of technology has led to the emergence of smart cities, which are increasingly becoming hubs of innovation and efficiency. This paper explores the integration of the Internet of Things (IoT) and big data analytics as key components in the development of smart cities. IoT, with its interconnected network of devices and sensors, enables real-time data collection, which is then analyzed using big data analytics to provide insights and optimize city operations. The study discusses how this synergy fosters intelligent decision-making, enhances public services, and promotes sustainable urban development. The integration of IoT and big data analytics in smart cities is not without its challenges, such as privacy concerns and the need for robust cybersecurity measures. Nevertheless, the potential benefits, including improved resource management, increased energy efficiency, and better quality of life for citizens, outweigh the risks. This paper concludes that the integration of IoT and big data analytics in smart cities is a necessary step towards creating sustainable and livable urban environments.
Martin, D. Smart Cities: Integrating IoT and Big Data Analytics. Advanced Sciences, 2023, 5, 45. https://doi.org/10.69610/j.as.20231221
AMA Style
Martin D. Smart Cities: Integrating IoT and Big Data Analytics. Advanced Sciences; 2023, 5(2):45. https://doi.org/10.69610/j.as.20231221
Chicago/Turabian Style
Martin, Daniel 2023. "Smart Cities: Integrating IoT and Big Data Analytics" Advanced Sciences 5, no.2:45. https://doi.org/10.69610/j.as.20231221
APA style
Martin, D. (2023). Smart Cities: Integrating IoT and Big Data Analytics. Advanced Sciences, 5(2), 45. https://doi.org/10.69610/j.as.20231221
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