Читать книгу Machine Learning Paradigm for Internet of Things Applications - Группа авторов - Страница 48

They noted that IoT has actually been applied to support the technologies and people in relatively few implementations. IoT’s spectrum is very broad and almost all application areas will be captured by IoT in the near future. They found out that energy efficiency is one of the main facets of society, and IoT will help create a smart energy management system that saves energy and money [28]. In terms of the smart city definition, you mentioned an IoT architecture. The writers have addressed the immaturity of IoT hardware and software as one of the difficulties in doing this. They proposed addressing these problems to ensure a secure, effective, and user-friendly IoT device.

The transition from rural to urban environment leads to a growing urban population. Intelligent mobility, electricity, healthcare, and infrastructure solutions are also required. Smart city is one of the big IoT developer apps. It discusses several topics, including traffic control, air pollution management, public security solutions, intelligent parking, intelligent lightning, and intelligent waste disposal. You said IoT works tirelessly to solve these tough problems. In the domain of Smart Cities Technology pioneers is able to access the need for better intelligent urban infrastructure with accelerated urbanization. The authors have concluded that technology allowed by IoT is very relevant for sustainable growth in smart cities.

A weekly visit is often needed to gather information from the sensors mounted at the site under investigation. Often, some details remained lacking, which may not contribute to a very reliable review. The IoT-based system is thus able to address this issue and can provide high precision in analysis and forecasting. Later, concern is expressed for the handling of domestic wastewater. They addressed many shortcomings in the waste-water treatment process and complex control method and recommended effective alternatives based on IoT [29, 30]. They claimed that IoT can be very efficient in the treatment and control of wastewater.

The main design challenges for a successful IoT architecture in a heterogeneous setting are scalability, modularity, interoperability, and transparency. The IoT architecture must be configured to satisfy the criteria of cross-domain communications, convergence of various structures with the ability for easy and flexible control functions, analytics and storage of big data, and user-friendly applications. The design should also be able to scale up the functionality of the IoT devices in the system and incorporate some intelligence and automation.