How wireless IoT sensors work.5.8G Frequency microwave sensor module

　　We all know that the foundation of the Internet of Things is wireless sensor technology. This technology supports the collection of information about the surrounding environment over a long period of time without human involvement. Wireless sensors can measure various variables, from air temperature to vibration. Next, let's explore the working principle and function of wireless IoT sensors in detail!

　　Currently, there are many different types of wireless sensors on the market. Many wireless networks contain hundreds or even thousands of wireless sensors. These devices have been widely used in various fields, including retail, agriculture, urban planning, security and supply chain management. In this article, we will delve into the working principles of wireless sensors and explain why it is so important to the IoT revolution.

　　Wireless sensors collect data about local conditions and share analysis results with other powerful components or platforms for further processing. Sensors are usually distributed over large geographic areas and are programmed to communicate with central hubs, gateways, and servers. One of the main advantages of wireless sensors is that they require a low level of maintenance and low power consumption. After charging or replacing the battery once, the sensor can support IoT applications for several years.

　　In terms of building wireless networks, one of the problems that developers face is how to configure wireless sensors in this field. Sensors or "nodes" must be distributed in a way that supports the overall goals of network developers. Two common layouts of wireless sensors are star topology and mesh topology.

　　Mesh topology refers to a network where sensors can be connected to as many neighboring nodes as possible. In other words, data can "hop" from one node to another without having to follow a specific route or sensor hierarchy. Connection problems are less harmful to network performance, because data can take multiple paths to reach processing components. Given that new sensors only need to be connected to existing nodes, the grid topology is also easy to expand.

　　On the other hand, mesh topology is very expensive and difficult to maintain. There are so many connections that need to be created and managed, which will become more challenging as the network develops. A star topology refers to a network where each sensor is directly connected to a central gateway or hub. These hubs receive sensor information and transmit it to other applications for processing. In this layout, there is no direct communication between nodes.

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