Environmentally Sustainable Urban Development and Internet of Things Connected Sensors in Cognitive Smart Cities
Environmentally Sustainable Urban Development and Internet of Things Connected Sensors in Cognitive Smart Cities

Summary/Abstract: Based on an in-depth survey of the literature, the purpose of the paper is to explore environmentally sustainable urban development and Internet of Things connected sensors in cognitive smart cities. Using and replicating data from Capgemini, EIU, ESI ThoughtLab, JLL, KPMG, ICMA, SCC, and UKTI, I performed analyses and made estimates regarding how networked and integrated sustainable urban technologies optimize interconnected sensor networks through digital urban governance in smart and environmentally sustainable cities. Data-driven planning technologies can upgrade the standard of living by gathering massive volumes of data from Internet of Things sensing infrastructures. Data-driven Internet of Things systems integrate computationally networked urbanism and sustainable governance networks across Internet of Things sensing infrastructures by harnessing machine learning-based analytics. Smart and environmentally sustainable cities leverage data-driven planning technologies and machine learning-based analytics. Networked and integrated sustainable urban technologies develop on data-driven Internet of Things systems and machine learning-based analytics. Smart sustainable city governance and management can be enhanced by harnessing Internet of Things sensors, urban big data analytics, data-driven Internet of Things systems, and sensor-based big data applications. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

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