Abstract
Smart city is a collective term for technologies and concepts that are directed toward making cities efficient, technologically more advanced, greener and more socially inclusive. These concepts include technical, economic and social innovations. This term has been tossed around by various actors in politics, business, administration and urban planning since the 2000s to establish tech-based changes and innovations in urban areas. The idea of the smart city is used in conjunction with the utilization of digital technologies and at the same time represents a reaction to the economic, social and political challenges that post-industrial societies are confronted with at the start of the new millennium. The key focus is on dealing with challenges faced by urban society, such as environmental pollution, demographic change, population growth, healthcare, the financial crisis or scarcity of resources. In a broader sense, the term also includes non-technical innovations that make urban life more sustainable. So far, the idea of using IoT-based sensor networks for healthcare applications is a promising one with the potential of minimizing inefficiencies in the existing infrastructure. A machine learning approach is key to successful implementation of the IoT-powered wireless sensor networks for this purpose since there is large amount of data to be handled intelligently. Throughout this paper, it will be discussed in detail how AI-powered IoT and WSNs are applied in the healthcare sector. This research will be a baseline study for understanding the role of the IoT in smart cities, in particular in the healthcare sector, for future research works.
Highlights
This paper aims to provide a baseline study toward IoT, smart healthcare, smart cities, machine learning and their co-relation
A wireless sensor network (WSN) is a computer network comprised of sensor nodes which are organized in one network to monitor their surroundings using sensors Figure 2
Early diagnosis of illness or the right choice of therapy, artificial intelligence and machine learning in combination with IoT-enabled WSNs can make a significant contribution in the healthcare scenario
Summary
Intelligent devices can be used to collect the important patient data via voice command, for example, and assign it correctly and evaluate it with the help of artificial intelligence and big data This cannot all be recorded using wearables but is often obtained from the impression and assessment of the patient by the nursing staff. This could be a (partial) answer to the acute emergency care needed in the care sector, because if we look at the shortage of skilled workers and personnel, it quickly becomes clear that this is one of the greatest challenges of the future in view of an increasingly aging society [1].
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