The Internet of Things: A survey

March 1, 2016

This paper addresses the Internet of Things. Main enabling factor of this promising paradigm is the integration of several technologies and communications solutions. Identification and tracking technologies, wired and wireless sensor and actuator networks, enhanced communication protocols (shared with the Next Generation Internet), and distributed intelligence for smart objects are just the most relevant. As one can easily imagine, any serious contribution to the advance of the Internet of Things must necessarily be the result of synergetic activities conducted in different fields of knowledge, such as telecommunications, informatics, electronics and social science. In such a complex scenario, this survey is directed to those who want to approach this complex discipline and contribute to its development. Different visions of this Internet of Things paradigm are reported and enabling technologies reviewed. What emerges is that still major issues shall be faced by the research community. The most relevant among them are addressed in details.

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TDengine

TDengine™ is an open-source, cloud-native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. With its built-in caching, stream processing, and data subscription capabilities, TDengine offers a simplified solution for time-series data processing. It has gained over 20,000 stars on GitHub, and over 175,000 running instances in over 50 countries.

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whitePaper | September 20, 2022

One of the overarching goals of the ETSI Industry Specification Group (ISG) F5G on Fifth Generation Fixed Network is to establish a regular rhythm of evolution for the fixed telecommunications network. This technology enhancement corresponds to the series of generations defined for the wireless network. So far, F5G has published technical specifications on use cases, generations definition of fibre networks, architecture, and more. As it continues, these documents will be enhanced and revised to describe the fifth generation of fixed networks more fully. Therefore, we need to consider the evolution of F5G. This White Paper describes the drivers, dimensions, and technologies of the F5G advanced and beyond.

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Spotlight

TDengine

TDengine™ is an open-source, cloud-native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. With its built-in caching, stream processing, and data subscription capabilities, TDengine offers a simplified solution for time-series data processing. It has gained over 20,000 stars on GitHub, and over 175,000 running instances in over 50 countries.

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