Internet of Things (IoT) architecture involves multiple layers that wort collect, proces, and analize data. Understanting these layers helps in designing effective IoT systems that at are scalable and d efficients.

Érzékelők és eszközök

A kezdeti szakasz magában foglalja a szenzorokat és a devices-t, a gather data from the physikal environment. These can be temperature sensors, cameras, motivos detectors, or othel specialized hardware. They convert physcials into digitál data for further proceming.

Network Connectivity

Tiss layer transmits data from sensors to o other parts of the system. Common communication provisions include Wi- Fi, Bluetooth, Zigbee, and cellular networks. Reliable connectivity i essential for real-time data transfer and system responvenes.

Edge Computing

Edge computing involves processing data close to the sensors or devices. It reduces latency and bandwidth usage by filtering or analizing data locally before sending it to the cloud. Tiss layer enhances system efecence and d speed.

FelhőComputing

A felhőalapú rétegek, a menedzserek, az and analizes breames of data collected from IoT devices. A Cloud platformok biztosítják a scalable resources, data analitics, and machine learningig capabilities.

  • Érzékelők és eszközök
  • Network Connectivity
  • Edge Computing
  • FelhőComputing