Welcome to the Introduction to the Internet of Everything course. The Internet of Everything (IoE) is the networked connection of people, process, data and things. As more people, data and things come online, we develop processes to harness the vast amounts information being generated by all these connected people and things.
The goal of this course is to introduce you to fundamental concepts and technologies that enable the IoE.
These online course materials will assist you in developing the skills necessary to do the following:
To check your understanding of the concepts explained in this course, there is a brief quiz at the end of each chapter.
The IoE incorporates four pillars to make networked connections more relevant and valuable than ever before:
The interactions between the elements in the four pillars create a wealth of new information. The pillars interact in a way that establishes three main connections in the IoE environment:
To be IoE-ready means to be characterized by three critical attributes:
Combining these three attributes allows organizations to better create, communicate, and deliver their offerings.
To join the IoE economy, and maximize the value of their IoE implementation, organizations must consider:
Advances in technology are enabling us to consolidate different kinds of networks onto one platform referred to as the “converged network.” Unlike dedicated networks, converged networks are capable of delivering voice, video streams, text, and graphics between many different types of devices over the same communication channel and network structure. This network infrastructure uses a common set of rules, agreements, and implementation standards.
The IoE will include all types of objects, including objects and devices that are not traditionally connected. These objects contain embedded technology to interact with internal servers and the external environment. These objects are network-capable, and can communicate across a secure, reliable and available network platform.
Sensors can be programmed to take measurements, translate that data into signals, and then send that data to a main device called the controller. The controller is responsible for collecting data from sensors and providing an Internet connection. Controllers may have the ability to make immediate decisions or they may send data to a more powerful computer for analysis.
There are three primary types of data storage:
There are four distinct categories of services:
There are four types of Cloud deployment models:
it is judgement from people that turns data into insights, and insights into IoE value. It facilitates feedback that allows people to make informed decisions that bridge the differences between actual outputs and desired outputs. This is known as a feedback loop. A feedback loop can provide real-time information based on current behavior, and then deliver actionable information to modify that behavior.
Processes are facilitating interactions between people, things, and data. Today, the IoE brings them all together by combining machine-to-machine (M2M), machine-to-people (M2P), and people-to-people (P2P) connections.
Many things are currently connected using a loose collection of independent, use-specific networks. These disparate networks will converge to share the same infrastructure that includes comprehensive security, analytics, and management capabilities. As the components are connected to a converged network using IoT technologies, they become even more powerful as the full breadth of the IoE is able to take advantage and help people improve their quality of life.
Networking protocol suites describe processes, such as:
Protocol suites can be implemented in hardware or software, or a combination of both. Each layer is responsible for part of the processing to prepare data for transmission across the network.
Fog computing creates a distributed computing infrastructure closer to the network edge that carries out easier tasks that require a quick response. It reduces the data burden on networks. It enhances resiliency by allowing IoT devices to operate when network connections are lost. It also enhances security by keeping sensitive data from being transported beyond the edge where it is needed.
Scenario of a winery:
The winery owner wants to monitor the vineyard to determine the best time to harvest grapes. Sensors can be used to collect information on the physical aspects of the vineyard. This information is forwarded to the controller. The controller forwards a more complete picture of the information to a network server or across the Internet to a Cloud-based service. Information gathered by the sensor nodes and controller can be further analyzed and accessible via mobile and remote devices.
Infrastructure devices provide a variety of services including:
IoE is creating demand for a broad spectrum of IT jobs. These jobs reflect skills spanning multiple disciplines that include computer science, computer engineering and software engineering in the following areas:
With IoE solutions, organizations can implement a simple, smart, and secure approach that allows organizations to:
To implement IoE solutions, organizations must examine and account for three distinct connection types: M2M, M2P, and P2P.
To implement new IoE solutions without disrupting current operations, one of the first steps business managers must take is to understand their current processes. They must identify:
In addition to understanding business processes, organizations that are implementing an IoE solution must consider the existing IT and OT network infrastructures and operations.
There are three strategies to leverage the benefits of the IoE while managing risk:
Within the IoE, security must be pervasive. The approach to security must be:
The security principles are:
When designing an IoE solution, it is important to create a model before creating a prototype. Modeling an IoE solution begins by understanding the potential M2M, M2P, and P2P interactions. Some of the following types of analytics are used to help shape how a business functions:
Prototyping is the next step in modeling.
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