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This article mainly explains "how to understand that 5G will redefine the Internet of things and edge computing". The explanation in this article is simple, clear and easy to learn and understand. let's study and learn "how to understand 5G will redefine the Internet of things and edge computing"!

Compared with the previous generation cellular service (4G), the wireless cellular connectivity provided by 5G has higher bandwidth, lower delay and higher device density.

Compared with the previous generation of cellular services (4G), 5G provides wireless cellular connectivity with higher bandwidth, lower latency, and higher device density. In addition to a speed of 10 Gbps and a latency of 1 millisecond, 5G can support thousands of devices per square kilometer.

5G also supports network slicing, which allows operators to divide 5G radio access networks into virtual network segments, each of which can be customized to support different types of applications. Another benefit of network slicing is that it can separate the traffic of one network segment from that of other network segments to ensure security.

5G uses a variety of frequencies, ranging from the existing 2.4GHz band to millimeter wave (MM wave). Millimeter wave frequencies support channels with higher bandwidth, although the range is narrowed due to radio frequency absorption. This means that more access points can be deployed, which reduces the number of endpoints associated with each AP and increases the bandwidth available for each endpoint.

5G Edge Computing, fog computing and IoT

Edge computing integrates data processing into edge devices, which are usually data collectors or process controllers. Edge computing can quickly process raw sensor data without transferring the data to the host application. By processing raw data near or within the edge device, transmission delay and bandwidth costs can be reduced.

A good example is the programmable logic controller, which collects and processes locally generated data, and then uploads summary data to an integrated monitoring application over a network connection to perform other data processing and archiving.

Edge computing can improve the efficiency of upstream data transmission and provide real-time control of edge devices of the Internet of things. In edge computing, the processing power is installed inside or near the edge device.

Fog computing, on the other hand, offers another option, which places computing and storage functions near the edge device, not within the edge device. It provides local device-to-device communication, provides better control system flexibility, and sends summary data to cloud-based applications.

The 5G edge computing combination presents opportunities for new and improved applications, including IoT deployments, mainly due to the standard's bandwidth latency and real-time control capabilities.

The 1 millisecond latency of 5G (while the latency of 4G is 10 milliseconds) supports real-time applications that cannot tolerate 4G latency. A common example is self-driving cars, where cars communicate with each other through 5G, sharing sensor data and driving intentions, so that each car can make informed decisions about its expected path.

Fog computing, combined with the low latency of 5G, supports real-time applications that high-latency cloud-based applications cannot provide. Applications can also be more resilient through a distributed architecture, in which the fog computing infrastructure is installed near the IoT device.

With the right architecture, edge-and fog computing-based applications can continue to run at the local level, even if the network connection to the cloud fails.

Security use cases support 5G edge computing

In addition, edge computing security can be enhanced by using proprietary 5G network slices, because 5G network slices are protected by firewalls and are built on a network functional virtualization infrastructure. At the same time, containerization will make it easier to deploy custom software to edge or fog computing systems. Large solid-state storage systems will be able to store large amounts of data. This combination of networking, computing, and storage opens the door for many interesting and powerful systems.

Let's take a look at the environment, lighting and safety systems of the building. With 5G and fog computing infrastructure, low-cost sensors can transmit data over a local secure network. The fog computing system makes control decisions based on configuration data downloaded from the cloud. The low latency and high density of the 5G network means it can collect data in real time from hundreds of thermostats, occupant sensors, security scanners and ambient light monitors.

The fog computing system sends commands to building lighting, door locks, and heating and cooling systems over a 5G network. If the cloud connection is lost, the system will continue to run. At the same time, security is enhanced because 5G network slices isolate sensor and control data from other network users.

Another good example is the assembly plant control system. Robots communicate with each other to transfer parts to each other and rely on 5G edge computing for communication. The fog-based infrastructure will add another level of control between neighboring robots. You can also easily extend this concept to chemical plant process control systems. In both cases, 5G network slices enhance security.

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