Nick Jones, a well-known analyst and vice president at Gartner, said the Internet of Things will require a broad range of new technologies and skills many companies do not currently have. In the field of IoT, one recurring theme is that technology, services, and suppliers that provide these technologies and services are not yet mature. For those organizations that explore the Internet of Things, refining these immatures and avoiding the risks posed by this immaturity will be a key challenge. In many areas of science and technology, the lack of technology will also present major challenges. IoT technology and principles will have a wide range of organizational implications. Affect their business strategy, risk management, and many different areas of technology such as IoT architecture and web design. According to Jones, these ten emerging networking technologies are: 1. IoT Security. Internet of Things Security Security technologies need to protect IoT devices and platforms from informational attacks and physical tampering, require communications to be encrypted, and address new challenges such as fake "stuff" or battery consumption due to refusal to sleep. Because many "objects" use simple processors, operating systems do not support sophisticated security methods, IoT security can become complicated. 2. IoT Analytics. Internet of Things Analysis The Internet of Things business model will make use of the information it collects in a variety of ways, which will require new analytical tools and algorithms. As the volume of data increases over the next five years, the demand for the Internet of Things may further deviate from the traditional analysis. 3. Internet of things equipment management Long-lived and important "objects" will need to be managed and monitored, including device monitoring, firmware and software updates, diagnostics, crash analysis and reporting, physical management, and security management. Tools must be able to manage and monitor thousands or even millions of devices. 4. Low-power, short-distance Internet of Things By 2025, low-power, short-range networks will dominate the Internet of Things wireless connectivity and far beyond the wide area IoT connection. However, the balance between business and technology means that many solutions coexist without a single dominant winner. 5. Low-power wide area network Traditional cellular networks can not provide a good combination of technical parameters and operational costs for IoT applications that require wide coverage and have relatively low bandwidth, good battery life, low hardware and operating costs, and high connection density. Emerging standards such as Narrowband IoT will likely dominate this area. 6. Internet of things processor The processors and architectures used by IoT devices define many of their capabilities, such as whether there is strong security and encryption and power consumption and whether there is enough complexity to support an operating system, hardware updates, and embedded Equipment Management Model. The need to understand the meaning of processor choices requires further technical skills. 7. Internet of things operating system Traditional operating systems like Windows and iOS are not designed for IoT applications. They consume large amounts of power and require fast processors and, in some cases, lack such features as guaranteed real-time response. They also provide relatively large memory for small devices and may not support the chips used by IoT developers. As a result, most of the IoT-specific operating systems that have been developed need to accommodate many different hardware memory and parameter requirements. 8. Event flow processing It is not uncommon for some IoT applications to generate high data rates that need to be analyzed in real-time, generating tens of thousands of events per second in the system and, in some cases, millions of events per second. To meet such demands, distributed streaming computing platforms have emerged that can handle very high-rate data streams and perform tasks such as real-time analytics and pattern recognition. 9. Internet of Things platform The IoT platform packages a large group of infrastructure components in a IoT system into a single product. The services provided by these platforms fall into three main categories: 1). Control and operation of low-level devices such as communications, device monitoring and management, security, and firmware updates; 2). Internet of Things data collection, conversion and management; 3) Application development for the Internet of Things, including event-driven logic, application programming, visualization, analysis, and adapters connected to enterprise systems. 10. Internet of Things standards and ecosystems Standards and their associated Application Programming Interfaces (APIs) will be crucial as IoT devices will need to be interactive and communicating and many IoT business models will rely on data sharing across multiple devices and organizations. Many IoT ecosystems will emerge and products created by organizers may develop variant products to support multiple standards or ecosystems. As standards evolve, new standards and application programming interfaces emerge, organizers will also be prepared to update products over the life of the product. 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