Gopher Protocol, a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence enabled mobile technologies, including a global mesh network technology platform for both mobile and fixed solutions, has started working on implementing a 5G radio into Gopher’s solutions architecture based on Gopher's private communication protocol, to prepare for the numerous future IoT use cases using 5G bandwidth.
5G is the next generation of cellular and mobile/IoT networks and will be quickly expanding in the communication world. The standard is expected to allow Enhanced Mobile Broadband (eMBB), Ultra Reliable Low Latency Communications (URLLC), and Massive Machine Type Communications (mMTC). Enhanced Broadband is expected to be 10-100 times faster than the current LTE networks, and all three usage scenarios will allow for enhanced speed, connectivity, and mobility to support billions of future mobile and IoT devices.
Gartner Research Company predicts more than 20 billion IoT devices to be in use globally by 2020. Gopher has started its work to make its radio system architecture compatible with 5G technology in order to enable Gopher's devices to communicate with its own and other IoT and mobile devices worldwide. Gopher technology platforms based on 5G will be highly scalable and energy efficient to power the expected steady growth of connected devices. Gopher will implement its 5G capability within all of its radio-based devices, among them the Gopher’s patented Guardian Patch GEO tracking device and its Gopher Insight platform currently under development and planned for launch in early 2019.
5G Technology will connect a large number of IoT and mobile devices than ever before, whether it is a pet tracker or an autonomous vehicle data transceiver. This type of network is built to handle many different use cases, including commercial and consumer applications, governmental military/security and civilian agencies, robots, and autonomous vehicles. The 5G network offers superior speed and better real-time responsiveness and is designed to work differently on connected products that don't need a constant connection, like irrigation sensors for example. In addition, it enables wide bandwidth and huge data handling for constantly connected devices, like transceivers in drones or autonomous machines. Applications that require virtually lag-free connection like medical robotics, security/military drones, and robotic cars will be able to communicate with each other in real time.
