A systematic review for smart identifier networking

Zhang, Hongke; Feng, Bohao; Tian, Aleteng

doi:10.1007/s11432-022-3577-8

Cited by 4 publications

(1 citation statement)

References 38 publications

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“…SINET has been applied to communication and data transmission in high-speed railway networks due to its advantages in mobility support and multidimensional resource cooperation. To meet the challenges of heterogeneous network integration and effective differentiated routing faced by satellite networks, SINET realizes the integration and routing optimization of satellite and ground networks by decoupling the identity and location information of the network and terminal [3].…”

Section: Introductionmentioning

confidence: 99%

Insight Into the Architecture and Technology of Smart Identifier Networks

Fan

2024

Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–

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The traditional Internet adopts a host-centric data transmission mode, and data are repeatedly transmitted between different computers, resulting in vast network traffic and low transmission efficiency. With the rise of the information-centric content sending mode, the traditional Internet has been unable to meet growing business needs. In this context, smart identifier networks have been proposed as next-generation Internet architectures and were initially applied in the industrial Internet, Internet of things and other fields. As the research direction of future network architecture, smart identifier networks are currently mainly deployed in the field of industrial manufacturing. It still needs to explore efficient applications on the Internet of Vehicles, Space-Earth Integration Networks, data centers and other scenarios to meet the needs of current new business in the short term, fundamentally solve the shortage of network architecture in the long term and supply a good development environment for future identification applications.

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Section: Introductionmentioning

confidence: 99%