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SI-STIN: A Smart Identifier Framework for Space and Terrestrial Integrated Network

机译：SI-STIN：用于空间和地面集成网络的智能标识符框架

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摘要

Currently, many hybrid satellite-aerial-terrestrial networks are under construction. The problem is how to coordinate heterogeneous communication networks and platforms to provide more effective services, which is seriously hindering the further development of networks. To mitigate this and other problems, a novel heterogeneous wireless network architecture named the Smart Identifier for Space and Terrestrial Integrated Network (SI-STIN) is designed. Based on the Smart Identifier Network (SINET), SI-STIN aims to solve the problem of the heterogeneous convergence of the integrated network layer, break through the triple binding of the traditional network layer design, and ultimately achieve high efficiency for resource integration and interconnection. The SI-STIN includes three layers and two domains: the smart pervasive service layer, dynamic resource adaption layer, and collaborative network component layer, and the entity domain and behavior domain, in which many separate identifiers and behavior descriptions are applied. Then the details, workflow, applications, and challenges of the STIN are presented. Experimental analysis verifies that the SI-STIN improves the performance in regard to network security and transmission efficiency and thus has great potential to satisfy various network demands.
机译：当前，许多混合的卫星-地面-地面网络正在建设中。问题是如何协调异构通信网络和平台以提供更有效的服务，严重阻碍了网络的进一步发展。为了缓解此问题和其他问题，设计了一种新颖的异构无线网络体系结构，称为空间和陆地集成网络智能标识符（SI-STIN）。 SI-STIN基于智能标识符网络（SINET），旨在解决集成网络层的异构融合问题，突破传统网络层设计的三重绑定，最终实现资源集成和互连的高效率。 SI-STIN包括三层和两个域：智能普及服务层，动态资源适应层和协作网络组件层，以及实体域和行为域，其中应用了许多单独的标识符和行为描述。然后介绍了STIN的详细信息，工作流程，应用程序和挑战。实验分析证明，SI-STIN在网络安全性和传输效率方面提高了性能，因此具有满足各种网络需求的巨大潜力。

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  • 来源
    《IEEE Network》 |2019年第1期|8-14|共7页
  • 作者

    Yao Su; Guan Jianfeng; Yan Zhiwei; Xu Ke;

  • 作者单位

    Tsinghua Univ, Beijing, Peoples R China;

    Beijing Univ Posts & Telecommun, Inst Network Technol, Beijing, Peoples R China;

    China Internet Network Informat Center, Beijing, Peoples R China;

    Tsinghua Univ, Beijing, Peoples R China;

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