ABSTRACT. Employing recent research results covering interconnected sensor networks and machine learning-based analytics in data-driven smart sustainable cities, and building my argument by drawing on data collected from BDO, Capgemini, ICMA, KPMG, McKinsey, Philips, SCC, SmartCitiesWorld, and World Economic Forum, I performed analyses and made estimates regarding the progress of smart cities toward sustainability. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: smart sustainable city; big data analytics; sensor network; machine learning

How to cite: Townsend, J. (2021). “Interconnected Sensor Networks and Machine Learning-based Analytics in Data-driven Smart Sustainable Cities,” Geopolitics, History, and International Relations 13(1): 31–41. doi: 10.22381/GHIR13120213.

Received 18 March 2021 • Received in revised form 14 June 2021
Accepted 17 June 2021 • Available online 22 June 2021

Jason Townsend
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The Big Data Analytics Research Unit
at ISBDA, Dublin, Ireland

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