A Review of the Impact of Big Data on Smart Cities
Milankumar Rana *
Department of Information Technology, University of the Cumberlands, Williamsburg, KY 40769, USA.
*Author to whom correspondence should be addressed.
Abstract
The purpose of this research paper is to write literature reviews on big data applications on smart cities. Naoui et al. (2020) have done research on how big data with deep learning architecture is used by smart cities. Naoui et al. (2020) have proposed three-layer architecture where smart city layer is used to identify components and IOT sensors used for development of system. Big data layer for data distributions and deep learning for data analysis. (Naoui et al., 2020) analyzed Toluene forecasting for Madrid and Wind Energy forecasting for Australia. (Naoui et al., 2020) have claimed that their approach will be useful in better decision making in Toluene forecasting and accurate prediction in power generation. Tiwari et al. (2019) have conducted literature reviews using the data collected from various sources to analyze the techniques used in the original research to write about the literature. This paper reviews the architecture and technique used to implement and find problems.
Keywords: Bigdata, smart cities, IOT, sensors, deep learning, data analysis, forecasting, predictive analytics