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Chapter 5 - M2M and IoT Technology Fundamentals

Jan Höller ; Vlasios Tsiatsis ; Catherine Mulligan ; Stamatis Karnouskos ; Stefan Avesand ; David Boyle

From Machine-to-Machine to the Internet of Things, 2014, p.81-143

Elsevier Ltd

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  • Título:
    Chapter 5 - M2M and IoT Technology Fundamentals
  • Autor: Jan Höller ; Vlasios Tsiatsis ; Catherine Mulligan ; Stamatis Karnouskos ; Stefan Avesand ; David Boyle
  • Assuntos: Actuator ; Big Data ; Business Process ; Data Acquisition ; Data Characteristics ; Data Mining ; Data Storage ; Data Validation ; Descriptive Statistics ; Device ; Device Management ; Everything as a Service (XaaS) ; Execution Environment ; Gateway ; Infrastructure as a Service (IaaS) ; Knowledge ; Local Area Network (LAN) ; Microcontroller ; Networking ; Operating System (OS) ; Platform as a Service (PaaS) ; Predictive Analytics ; Sensor ; Software as a Service (SaaS) ; Virtualization ; Wide Area Network (WAN) ; Wireless Sensor Network (WSN)
  • É parte de: From Machine-to-Machine to the Internet of Things, 2014, p.81-143
  • Descrição: In this chapter, we present an overview of technology fundamentals – or building blocks—that form the basis of M2M and IoT. Here, we cover devices and gateways, local and wide area networking, data management, business processes, cloud and analytics technologies. Devices form the basis of the Internet of Things and provide functions for sensing and actuating in the physical world. Local and wide area networking provides these with the necessary infrastructure to connect to services, using Wireless Sensor Networks to form multi-hop architectures with gateway sensor nodes that provides WAN connectivity towards the backhaul network. Data management handles essential functions such as data acquisition, validation and storage, and makes sure that critical information is available at the right point in a timely manner, and in the right form. Business processes refers to the series of steps to perform management, operational and supporting activities for achieving specific mission objectives. XaaS is used as a general term to describe the functions provided as-a-service by cloud infrastructures, such as computational capacity, software, networking and storage. Analytics are used to extract additional value from data generated by devices and enable new opportunities by using data from devices for multiple purposes, most of which will not be imagined at the time of deployment. Knowledge Management Frameworks provides functions that provide the ability to understand data-generated information and use existing experience within a certain decision-making context. Local and wide area networking provides the necessary infrastructure to connect devices to services, using Wireless Sensor Networks to form multi-hop architectures with gateway sensor nodes that provides WAN connectivity towards the backhaul network. Data management provides essential functions such as acquisition, validation and storage of data and makes sure that critical information is available at the right point in a timely manner, and in the right form. Business processes refers to the series of steps to perform management, operational and supporting activities for achieving specific mission objectives. XaaS is used as a general term to describe the functions provided as-a-service by cloud infrastructures, such as computational capacity, software, networking and storage. Analytics are used to extract additional value from data generated by devices and enable new opportunities by using data from devices for multiple purposes, most of which will not be imagined at the time of deployment. Knowledge Management Frameworks provides functions that provide the ability to understand data-generated information and use existing experience within a certain decision-making context.
  • Editor: Elsevier Ltd
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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