物联网网络融合与自治的机理和方法立项报告

李忠诚 刘敏 周安福 陆月明 孙咏梅

摘 要：大规模异质网元的接入和海量数据的交换是物联网广泛应用带来的新的重要特征。一方面，物联网借助互联网、通信网等主流平台实现子网互连和网络融合，进而提供信息共享和协同服务；另一方面，在局部紧耦合区域内物联网表现出很强的动态自治需求。局部区域的各种网元为了执行特定的网络任务，动态地自我组织，实现互连互通互操作，综合利用局部自治域内信息提高网络服务效率。因此，物联网发展面临的一个难题是：如何解决物联网超大规模性、多元异构性、系统动态性与高效数据交换之间的矛盾。为此，该项目将物联网要解决的大规模异质网元高效互连的挑战凝炼为一个关键科学问题，将研究局部动态自治和高效网络融合中面临的大规模异质网元的数据交换问题。针对物联网超大规模性、多元异构性、系统动态性的特点，该课题拟从全局网络高效融合和局部区域动态自治两个角度展开深入研究，解决高效数据交换问题。主要研究内容包括：（1）面向IP体系演进的网络融合及其命名与寻址架构；（2）支持非IP和IP融合的网络体系架构；（3）物联网自治域内数据汇聚与交换；（4）物联网自治区域动态管理。

关键词：网络融合 自治 网络体系结构

Abstract：Large-scale heterogeneous network element access and massive data exchange are important new features that are brought by wide application of IoT. On one hand， the Internet of Things， leverages communication networks and other mainstream platform to realize subnetwork interconnection and network integration， thus provide information sharing and collaboration services. On the other hand， tightly coupled in the local area networking， IoT shows a strong demand for dynamic autonomy. A variety of local area network elements in order to perform specific network tasks， require dynamic self-organization to achieve interoperability interoperability， and utilization of local self-government domain information to improve the efficiency of network services. Therefore， the development of IoT faces a dilemma： how to resolve conflicts between efficient data exchange and the features of large scalability， pluralistic heterogeneity， system dynamic. To this end， the project will extract concisely a key scientific issue from challenges faced by efficient communication in large-scale heterogeneous networks. We will study the dynamics of local self-government and efficient network convergence in the face of large-scale heterogeneous network element data exchange problem. Considering the features of large scalability， pluralistic heterogeneity， dynamic characteristics of the system in IoT， the research is conducted from two aspects， i.e.， efficient global convergence and dynamic autonomy in local area network depth， to solve the problem for efficient data exchange. The main contents include：（1）IP-oriented evolution network convergence and naming and addressing architecture；（2）network architecture support for non-IP and IP converged；（3）data convergence and exchange in autonomous region of IoT；（4）dynamic management in autonomous region of IoT.

Key Words：Global convergence；Dynamic autonomy；Network architecture

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