Are you curious about how the smart devices around you connect and communicate? The Internet of Things (IoT) is rapidly permeating our lives, and the underlying technological architecture is actually a complex ecosystem of multiple layers and technologies. Today, we will systematically outline the technical requirements and core components of IoT products.
01
What is the Internet of Things?
The Internet of Things is a network composed of physical objects embedded with sensors, software, and other technologies that can connect through various means such as the Internet, Bluetooth, NB-IoT, and LTE, enabling data exchange between devices and systems.
It is not just a “network”; it is a full-stack technology system that integrates hardware, firmware, communication, cloud platforms, and applications.
02
The Four Layers of IoT Infrastructure
A typical IoT system can be divided into four layers:
Data Collection LayerSensors and devices collect data from the real world, serving as the “senses” of the IoT system.
Data Transmission LayerUsing communication protocols such as Wi-Fi, Bluetooth, LoRa, and 4G, data is transmitted to the cloud or local servers.
Data Processing LayerData is analyzed, processed, and stored on servers or edge gateways, transforming it into valuable information.
Application LayerData is presented to users through web or mobile applications, providing control interfaces for intelligent management.
03
The Five Key Technology Stacks for IoT Development
Want to develop an IoT product? You need to master these five key technology layers:
① Hardware Devices (Things)
IoT hardware serves as the bridge connecting the physical and digital worlds. This includes microcontrollers, sensors, communication modules, etc. Common development boards like Raspberry Pi and Arduino are often used for prototyping, while actual products typically use custom PCB designs.
When selecting hardware, key considerations include:
Power management
Processing capability
Wireless functionality (e.g., Wi-Fi, BLE, LoRa)
Scalability and memory capacity
Support for firmware over-the-air updates (FOTA)
② Communication Protocols (Connectivity)
Devices need to communicate with the cloud or other devices over the network. Common protocols include:
BLE: Suitable for wearable devices and medical sensors
RFID: Used for logistics and retail tracking
Wi-Fi: Suitable for fixed power supply scenarios, such as smart homes
LPWAN (e.g., LoRa, NB-IoT): Wide coverage, low power consumption, suitable for industrial IoT
③ Edge Computing
Data is initially processed at local gateways, reducing cloud load and improving response speed, and can even operate in offline environments.
④ Cloud Platform and Data Processing
The cloud platform is responsible for storing, analyzing, and managing massive amounts of data. Mainstream options include:
Google Cloud IoT
AWS IoT Core
Microsoft Azure IoT Hub
They provide a range of services including device management, data pipelines, and AI analytics.
⑤ Applications and Visualization
Users interact with the IoT system through web or mobile applications. Common development frameworks include Ionic, Flutter, React Native, etc. Nowadays, many applications also incorporate AI capabilities for smarter control and predictions.
04
Future and Challenges
Although the IoT has a promising future, it still faces three major challenges:
Security:Devices are easy targets for hackers
Data Privacy:Involves significant risks of personal data leakage
Cost Issues:Scaling deployment still requires controlling hardware and operational costs
How to build a more secure, cost-effective, and user-trusted IoT system is a common challenge for the industry.
We are a technology team focused on customized IoT solutions, providing full-stack development services from hardware design to cloud integration, from communication protocols to applications. If you have IoT project needs, we welcome collaboration!