Uploaded December 2021 | Updated September 2026, 1 week ago
This video demonstrates ESP-NOW, which is a wireless communication protocol based on the data-link layer defined by Espressif. The big difference ESP-NOW makes is that it reduces the five layers of the OSI model to only one. Also, there is no need for packet headers or unpackers on each layer, which leads to a quick response reducing the delay caused by packet loss in congested networks. Additionally, ESP-NOW occupies fewer CPU and flash resources than traditional connection protocols, while it co-exists with Wi-Fi and Bluetooth LE. ESP-NOW supports various series of Espressif chips, providing a flexible data transmission that is suitable for connecting “one-to-many” and “many-to-many” devices. Moreover, ESP-NOW can be used as an independent, auxiliary protocol that helps with device provisioning, debugging, and firmware upgrades.
All in all, ESP-NOW, Espressif’s wireless communication protocol is efficient, responsive, and easy-to-develop.
Relevant Resources
- ESP-NOW v1.0: github.com/espressif/esp-now/releases/tag/v1.0
In ESP-NOW v1.0 bugs have been fixed and the code comments and examples have been improved (see Release Note for details). We will continue to update and adjust the functional architecture of ESP-NOW to achieve a more product-oriented ESP-NOW solution.
- ESP-NOW protocol documentation: docs.espressif.com/projects/esp-idf/en/latest/esp32c3/api-reference/network/esp_now.html
- If you would like to learn more about ESP-NOW, Espressif’s wireless-communication protocol, or if you have any questions about it, please contact our customer support team via the following link: espressif.com/sales
This video demonstrates ESP-NOW, which is a wireless communication protocol based on the data-link layer defined by Espressif. The big difference ESP-NOW makes is that it reduces the five layers of the OSI model to only one. Also, there is no need for packet headers or unpackers on each layer, which leads to a quick response reducing the delay caused by packet loss in congested networks. Additionally, ESP-NOW occupies fewer CPU and flash resources than traditional connection protocols, while it co-exists with Wi-Fi and Bluetooth LE. ESP-NOW supports various series of Espressif chips, providing a flexible data transmission that is suitable for connecting “one-to-many” and “many-to-many” devices. Moreover, ESP-NOW can be used as an independent, auxiliary protocol that helps with device provisioning, debugging, and firmware upgrades.
All in all, ESP-NOW, Espressif’s wireless communication protocol is efficient, responsive, and easy-to-develop.
Relevant Resources
- ESP-NOW v1.0: github.com/espressif/esp-now/releases/tag/v1.0
In ESP-NOW v1.0 bugs have been fixed and the code comments and examples have been improved (see Release Note for details). We will continue to update and adjust the functional architecture of ESP-NOW to achieve a more product-oriented ESP-NOW solution.
- ESP-NOW protocol documentation: docs.espressif.com/projects/esp-idf/en/latest/esp32c3/api-reference/network/esp_now.html
- If you would like to learn more about ESP-NOW, Espressif’s wireless-communication protocol, or if you have any questions about it, please contact our customer support team via the following link: espressif.com/sales










—into API calls needed to initialize the data model, encodes them to protobuf messages and stores it in a space-efficient format on the flash.
By design, this allows the application and the data model to be decoupled and stored independently. The repo also includes an IDF component that can read this serialized format and create the data model at runtime. However, the same format is usable across Matter implementations like Matter.js, rs-matter, Matter (CircuitPython) or Arduino Matter, eliminating the need for code generators to be developed for these languages.
The talk will provide an introduction to data models of IoT devices, how Matter approaches the data modeling problem, and how the Data Model Interpreter tools and components work. It will also cover the potential use cases.
Speakers: Dhaval Gujar and Amit Sheth DevCon25 - Runtime Data Model Interpreter for Connected Devices](https://i.ytimg.com/vi/UmZA3k8RDXU/mqdefault.jpg)