Although IoT gateways and wireless routers are very similar, the job of IoT gateways and wireless routers is to serve as a highway bridge connecting different kinds of devices and network communication technologies. Local devices and technologies have different sockets, transformed by the gateway ip to fit into the protocols of that contract and the sockets adopted by the outside internet. For example, your home router bridges cat 16 speed the connection between the connected devices and the middle of the network. It will connect your local area network to the Internet Protocol module (TCP/IP) with your Internet service provider's wide area network (ISP). The IoT gateway also supports a similar full process in which it connects IoT devices to the Internet technology. However, the key difference is what the IoT gateway does, which would be to filter the device data before sending it to the cloud. When resolving data, an IoT gateway can implement instant management decisions and management methods without having to connect to the cloud to manipulate your application software. Simply put, an IoT gateway can perform complex daily tasks in both offline and online situations, whereas a wireless router is only able to connect devices to Internet technology when they are online.
Benefits of IoT gateways
Data management approach - The IoT gateway manages all data originating from IoT devices, sensors and electric actuators. It aggregates, resolves and considers data from all such devices and then sends only the most important data to the cloud. It also relays data from the cloud when manipulating and monitoring IoT applications from remote control sites.
Lower network bandwidth consumption - There are many IoT devices and they also participate in the IoT ecosystem. With so many devices connected to the Internet technology and constantly passing data, one can only imagine how big the deal will be to adopt the actual operating system software. IoT gateways can send it to the outside Internet before sustaining according to the readiness to handle network bandwidth consumption low and manage method data from all devices in the overall system.
Reduced latency - With IoT gateways making it more efficient, the Internet of IoT devices will quickly connect to the cloud and reduce latency issues. In addition, based on the data resolved at the edge, IoT gateways remove the latency shortcomings that occur when IoT devices try to connect to the cloud. IoT gateways are closer to the data source, which in turn alleviates latency issues.
Environmentally friendly and energy efficient - According to the IoT gateway solution data management methods, reduce network bandwidth consumption and reduce the latency of IoT devices, it allows countless IoT devices to work efficiently and will end up having to use very little electrical energy. It is much more environmentally friendly and energy efficient to use just one IoT gateway to push and receive data from the cloud, as opposed to having several IoT devices continuously trying to connect to the cloud.
Network Information Security - IoT gateways improve the security of the IoT ecosystem by reducing the number of connections that a network hacker can see. IoT gateways also choose several security options, such as TPM 2.0, to ensure detailed data data encryption.
Lower fixed cost - With lower energy consumption and network consumption, the IoT gateway not only enhances the efficiency of your IoT usage, but also reduces the operating cost. In addition, it reduces the risk of shutdown based on more reliable application software, which results in more cost effective IoT applications.
Durable and reliable - The Industrial Production IoT Gateway is dedicated to take on the harsh natural environment that often occurs with industrial IoT applications. Embedded with powerful chemicals, the Industrial Production IoT Gateway is more durable and reliable when deployed in the extreme natural environment of the industry.
Industrial IoT - Along with more powerful CPUs available in the sales market, IoT gateways are equipped with high-grade specification models (CPU, RAM, SSD storage, GPU, etc.) to implement complex measurement optimization algorithms, such as artificial neural networks, deep neural networks and artificial intelligence technologies at the edge. In addition, relying on industrial production IoT gateways, customers can deploy them in the most remote and harsh industrial production application scenarios, such as smart agriculture, remote control of information resource management for transport fleets, in-vehicle applications and real-time monitoring of their natural gas and oil industries.
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