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What is IoT Architectures

Smart Agricultural Services Using Deep Learning, Big Data, and IoT
They are the methods of connecting and organizing the IoT devices with each other or to the external world.
Published in Chapter:
Fog Computing as Solution for IoT-Based Agricultural Applications
Amany Sarhan (Department of Computers and Control Engineering, Tanta University, Tanta, Egypt)
Copyright: © 2021 |Pages: 23
DOI: 10.4018/978-1-7998-5003-8.ch003
Abstract
Fog computing is a developing computing approach to extend and assist cloud computing. Fog computing platforms have several characteristics help providing the services for the users in a reduced time manner and thus improve the QoS of the IoT devices such as being close to edge-users, being open platform, and its support for mobility. Thus, it is becoming a necessary approach for user-centric IoT-based applications that involve real-time operations, for example, agricultural applications, internet of vehicles, road monitoring, and smart grid. In this chapter, the present characterizations of fog computing, its architectures and a comprehensive method of how it is used to handle IoT-based agricultural applications are discussed. The chapter also presents some of these possible applications highlighting how they could benefit from the fog layer in providing better services.
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