What are the three layers of the Internet of Things?
The Internet of Things is divided into three layers: network layer, application layer, and perception layer. The network layer is equivalent to the human nerve center and brain, responsible for transmitting and processing information obtained by the perception layer. The application layer is the Internet of Things. The interface with the user, the perception layer consists of various sensors and sensor gateways.
#The operating environment of this article: Windows 7 system, Dell G3 computer.
The Internet of Things can be divided into three layers: network layer, application layer, and perception layer.
Network layer is composed of various private networks, the Internet, wired and wireless communication networks, network management systems and cloud computing platforms, which is equivalent to the human nerve center and brain. Responsible for transmitting and processing information obtained by the perception layer.
Application layer is the interface between the Internet of Things and users (including people, organizations and other systems). It is combined with industry needs to realize intelligent applications of the Internet of Things.
Perception layer is composed of various sensors and sensor gateways, including carbon dioxide concentration sensors, temperature sensors, humidity sensors, QR code tags, RFID tags and readers, cameras, GPS, etc. sensing terminal.
The perceptual layer is equivalent to the nerve endings of human eyes, ears, nose, throat and skin. It is the source of identifying objects and collecting information in the Internet of Things. Its main function is to identify objects and collect information.
Extended information:
Related technologies
1. Address resources
The implementation of the Internet of Things requires assigning a unique identifier or address to each object. The earliest ideas for addressability were based on RFID tags and unique codes for electronic products.
Another idea coming from the Semantic Web is to use existing naming protocols such as Uniform Resource Identifiers to make all items accessible (not just electronics, smart devices, and items with RFID tags). The items themselves cannot talk, but in this way they can be accessed by other nodes, such as a powerful central server.
2. Artificial intelligence
Autonomous control does not depend on the network architecture. But the current research trend is to combine autonomous control and the Internet of Things. In the future, the Internet of Things may be a non-deterministic, open network in which self-organizing or intelligent physical and virtual items can interact with the environment and based on their respective Purpose operates autonomously.
3. Architecture
In the Internet of Things, an event message is probably not a predetermined message with a certain syntactic structure, but a kind of self-expressive content, such as Semantic Web.
Correspondingly, information does not need to have a definite protocol to regulate all possible contents, because there is no "ultimate specification" that can predict all information contents.
The top-down standardization is static and cannot adapt to the dynamic evolution of the network, so it is also impractical. Information on the Internet of Things should be self-explanatory, comply with some standards, and be able to evolve.
4. System
Not all nodes in the Internet of Things must run at the global level, such as the TCP/IP layer. For example, many terminal sensors and actuators do not have the ability to run the TCP/IP protocol stack. Instead, they are connected through ZigBee, fieldbus, etc.
These devices usually only have limited address translation capabilities and information parsing capabilities. In order to connect these devices to the Internet of Things, some kind of agent device and program are required to achieve the following functions: Use "local language" in the subnet Communicate with the device.
Translate the "local language" and the upper-layer network language into and out of each other; make up for the lack of access capabilities of the equipment. Therefore, this type of agent device is also an important component of IoT hardware.
If you want to know more about programming learning, please pay attention to the php training column!
The above is the detailed content of What are the three layers of the Internet of Things?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

The integration of artificial intelligence (AI) and machine learning (ML) into Internet of Things (IoT) systems marks an important progress in the development of intelligent technology. This convergence is called AIoT (artificial intelligence for the Internet of Things), and it not only enhances the capabilities of the system, but also changes the way IoT systems operate, learn and adapt in the environment. Let’s explore this integration and what it means. The Role of Artificial Intelligence and Machine Learning in IoT Enhanced Data Processing and Analytics Advanced Data Interpretation: IoT devices generate massive amounts of data. Artificial intelligence and machine learning can cleverly cull this data, extract valuable insights, and identify patterns that are invisible to a human perspective or traditional data processing methods. Predictive analytics uses artificial intelligence and machine learning to predict future trends based on historical data

Across the world, manufacturing in particular seems to have gradually overcome the difficulties during the pandemic and the supply chain disruptions of a few years ago. However, manufacturers are expected to face new challenges by 2024, many of which can be solved through wider application of digital technologies. Recent industry research has focused on the challenges manufacturers face this year and how they plan to respond. A study from the State of Manufacturing Report found that in 2023, the manufacturing industry is facing economic uncertainty and workforce challenges, and there is an urgent need to adopt new technologies to solve these problems. Deloitte made a similar point in its 2024 Manufacturing Outlook, noting that manufacturing companies will face economic uncertainty, supply chain disruptions and challenges in recruiting skilled labor. no matter what the situation

As a technology company driven by innovation, Christie is able to provide comprehensive solutions, rich industry experience and a complete service network in intelligent audio-visual technology. At this year's InfoCommChina, Christie brought RGB pure laser projectors, 1DLP laser projectors, LED video walls, and content management and processing solutions. At the event site, a large-scale customized outer spherical dome specially designed for astronomical displays became the focus of the scene. Christie named it "Sphere Deep Space", and the Christie M4K25RGB pure laser projector gave it "green vitality" . Mr. Sheng Xiaoqiang, senior technical service manager of the Commercial Business Department in China, said: It is not difficult to realize an outer spherical dome projection, but it can be made smaller and the color

With the continuous development of smart technology, smart buildings have become a powerful force in today's construction industry. In the rise of smart buildings, Internet of Things (IoT) sensors and artificial intelligence (AI) have played a crucial role. Their combination is not just a simple technical application, but also a complete subversion of traditional building concepts, bringing us a more intelligent, efficient and comfortable building environment. Over the past few years, and especially in the wake of the COVID-19 pandemic, the challenges facing building management have increased and evolved as expectations for facilities managers have changed and viability needs have expanded. The shift to more integrated and flexible work environments within offices is also changing the way commercial buildings are used, requiring real-time visibility into building usage, occupant trends

With the development of IoT technology, more and more devices are able to connect to the Internet and communicate and interact through the Internet. In the development of IoT applications, the Message Queuing Telemetry Transport Protocol (MQTT) is widely used as a lightweight communication protocol. This article will introduce how to use Java development practical experience to implement IoT functions through MQTT. 1. What is MQT? QTT is a message transmission protocol based on the publish/subscribe model. It has a simple design and low overhead, and is suitable for application scenarios that quickly transmit small amounts of data.

Robotic IoT is an emerging development that promises to bring together two valuable technologies: industrial robots and IoT sensors. Will the Internet of Robotic Things become mainstream in manufacturing? What is the Internet of Robotic Things? The Internet of Robotic Things (IoRT) is a form of network that connects robots to the Internet. These robots use IoT sensors to collect data and interpret their surroundings. They are often combined with various technologies such as artificial intelligence and cloud computing to speed up data processing and optimize resource utilization. The development of IoRT enables robots to sense and respond to environmental changes more intelligently, bringing more efficient solutions to various industries. By integrating with IoT technology, IoRT can not only realize autonomous operation and self-learning, but also

Best practices for developing and implementing an IoT device management system using Go language Summary: With the rapid development of IoT technology, the management of IoT devices has become increasingly important. This article introduces the best practices for developing IoT device management systems using Go language. First, we introduced the characteristics of the Go language and why we chose the Go language to develop an IoT device management system. We then discuss the architectural design of the IoT device management system and provide some recommendations and tips to optimize system performance and scalability. Finally, we share some practical developments

Practical Experience of C++ Internet of Things Programming The Internet of Things (IoT) is a hot topic that has attracted much attention in recent years. It connects various devices and sensors to each other to achieve information sharing and intelligent control. In the development of the Internet of Things, C++, as a powerful programming language, has the characteristics of high performance and efficiency, so it is widely used in the field of the Internet of Things. In this article, I will share some practical experience accumulated in C++ IoT programming, hoping to provide some useful reference for developers.