物聯網網絡融合與自治的機理和方法立項報告

李忠誠 劉敏 周安福 陸月明 孫詠梅

摘 要：大規模異質網元的接入和海量數據的交換是物聯網廣泛應用帶來的新的重要特征。一方面，物聯網借助互聯網、通信網等主流平臺實現子網互連和網絡融合，進而提供信息共享和協同服務；另一方面，在局部緊耦合區域內物聯網表現出很強的動態自治需求。局部區域的各種網元為了執行特定的網絡任務，動態地自我組織，實現互連互通互操作，綜合利用局部自治域內信息提高網絡服務效率。因此，物聯網發展面臨的一個難題是：如何解決物聯網超大規模性、多元異構性、系統動態性與高效數據交換之間的矛盾。為此，該項目將物聯網要解決的大規模異質網元高效互連的挑戰凝煉為一個關鍵科學問題，將研究局部動態自治和高效網絡融合中面臨的大規模異質網元的數據交換問題。針對物聯網超大規模性、多元異構性、系統動態性的特點，該課題擬從全局網絡高效融合和局部區域動態自治兩個角度展開深入研究，解決高效數據交換問題。主要研究內容包括：（1）面向IP體系演進的網絡融合及其命名與尋址架構；（2）支持非IP和IP融合的網絡體系架構；（3）物聯網自治域內數據匯聚與交換；（4）物聯網自治區域動態管理。

關鍵詞：網絡融合 自治 網絡體系結構

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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