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Ning H.,University of Science and Technology Beijing | Fu Y.,Beihang University | Hu S.,Beihang University | Liu H.,Run Technologies Co.
Telecommunication Systems | Year: 2015

The Internet of Things (IoT) is an emerging network paradigm, and realizes the interconnection among ubiquitous things, along with its corresponding applications and services in both Physical-world and Cyber-world. Some researches have been worked on IoT modeling and addressing, which are mainly based on objects with a unique identifier (ID). However, in practical scenarios, there are several objects without any available ID, namely non-ID (i.e., nID) physical objects, including the objects unattached any ID itself, and the objects attached unreadable or un-trusted ID. It turns out that the nID physical objects related issues become noteworthy. In this paper, we focus on the nID physical objects to present a modeling and addressing solution. Concretely, (1) nID physical objects are described along with the discussion of applying nID solution; (2) a tree-like code structure (i.e., Tree-Code) is introduced to establish a unified modeling scheme for the nID physical objects according to abstracted data elements, and also achieves the compatibility with the ID physical objects considering the ID based data elements; (3) Tree-Code based addressing scheme is presented with dynamic updating considerations. It indicates that the nID physical object modeling and addressing provide complements to the ID physical objects for ubiquitous interactions in the IoT. © 2014, The Author(s). Source

Ma J.,Hosei University | Ning H.,University of Science and Technology Beijing | Huang R.,Hosei University | Liu H.,Run Technologies Co. | And 3 more authors.
IEEE Access | Year: 2015

Following the two trends of computerization and informatization, another emerging trend is cyberization in which numerous and various cyber entities in cyberspace will exist in cyber-enabled worlds, including the cyber world and cyber-conjugated physical, social, and mental worlds. Computer science and information science, as holistic fields, have, respectively, played important roles in computerization and informatization. Similarly, it is necessary for there to be a corresponding field for cyberization. Cybermatics is proposed as such a holistic field for the systematic study of cyber entities in cyberspace and cyber world, and their properties, functions, and conjugations with entities in conventional spaces/worlds. This paper sets out to explain the necessity and rationale for, and significance of, the proposed field of Cybermatics, what it is and what it encompasses, and how it is related to other fields and areas. © 2013 IEEE. Source

Ning H.,University of Science and Technology Beijing | Liu H.,Run Technologies Co. | Ma J.,Hosei University | Yang L.T.,Huazhong University of Science and Technology | And 2 more authors.
Future Generation Computer Systems | Year: 2015

The Internet of Things (IoT) is becoming an attractive system paradigm, in which physical perceptions, cyber interactions, social correlations, and even cognitive thinking can be intertwined in the ubiquitous things' interconnections. It realizes a perfect integration of a new cyber-physical-social-thinking (CPST) hyperspace, which has profound implications for the future IoT. In this article, a novel concept Cybermatics is put forward as a broader vision of the IoT (called hyper IoT) to address science and technology issues in the heterogeneous CPST hyperspace. This article covers a broaden research field and presents a preliminary study focusing on its three main features (i.e., interconnection, intelligence, and greenness). Concretely, interconnected Cybermatics refers to the variants of Internet of anything, such as physical objects, cyber services, social people, and human thinking; intelligent Cybermatics considers the cyber-physical-social-thinking computing to provide algorithmic support for system infrastructures; green Cybermatics addresses energy issues to ensure efficient communications and networking. Finally, open challenging science and technology issues are discussed in the field of Cybermatics. © 2015 Elsevier B.V. Source

Ning H.S.,University of Science and Technology Beijing | Liu H.,Run Technologies Co.
Science China Information Sciences | Year: 2015

The Internet of Things (IoT) as an emerging network paradigm is bringing the next scientific and technological revolution for ubiquitous things’ interactions in cyber-physical-social spaces. The IoT influences the current science and technology system by enabling its relatively stable interrelations for an inevitable architecture reconfiguration. In this paper, we aim to explore an updated science and technology framework for the IoT. Particularly, a novel cyber-physical-social-thinking (CPST) space is established by involving an attractive concept of the Internet of Thinking (IoTk), and a science and technology framework is accordingly proposed referring to both scientific aspect (i.e., cyber-physical, social, and noetic sciences) and technological aspect (i.e., fundamental, physical, cyber, and social technologies). According to the perspective of the traditional Chinese culture, we explain the established science and technology framework, in which the “Five Elements” (i.e., wood, fire, earth, metal, and water) have common properties with the restructured cyber-physical science in the IoT. Moreover, we introduce a scenario of smart city to identify the technological aspect in the IoT, and discuss the key enabling technologies, including resource management, energy management, data management, session management, security and privacy, loop control, space-time consistency, nanotechnology, and quantum technology. It turns out that the established science and technology framework will launch an innovation for academia and industry communities. © 2015, Science China Press and Springer-Verlag Berlin Heidelberg. Source

Wan Y.L.,Run Technologies Co. | Duan D.G.,Beijing Technology and Business University | Han Z.M.,Beijing Technology and Business University
Control Engineering and Information Systems - Proceedings of the International Conference on Control Engineering and Information System, ICCEIS 2014 | Year: 2015

For practical video surveillance in sensor networks, automatic channel allocation is required. In this paper, we derive a normalize topology from self-ID packets for channel allocation. A superior method is proposed to determine the unique identify of nodes by comparison of the normalize topologies, which doesn’t occupy bus bandwidth. Applying the algorithms and using Visual C++ and Windows XP DDK, network architecture visualization is realized. The results show that channels are allocated automatically and in real-time. It is beneficial to monitor network and optimize performance. © 2015 Taylor & Francis Group, London. Source

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