Reconfiguration decision making in cognitive wireless network

Zhang, Ping; Qian, He; Zhang, Feng; Zhang, Qixun

doi:10.1007/s11434-012-5255-3

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…Synchronize information metadata needed for data synchronization is stored in the same database in the form of table too [13]. At present, there are mainly three tables (when upgraded version number and format of the table may change in the future).…”

Section: Metadata Storage Modulesmentioning

confidence: 99%

Reaserch on the Construction and Realization of Synchronization System for Wireless Spital Database Based on UUID

Liangong¹

2015

TOAUTOCJ

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This paper implements a database synchronization system for the SQLite. For some of the problems encountered in the design and development of systems, by looking for literature, guessing and analyzing implementation methods of these similar systems, has solved some key issues and design and implement our own solutions. Mainly UUID replaces integer data format as data representation; Design table to store synchronization information metadata; Use HTTP protocol to transmit data and resolve security authentication and encrypted transmission; Use JSON format as the serial data format on the network transmission; Use JZEE platform to process system concurrent.

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Section: Metadata Storage Modulesmentioning

confidence: 99%

Reaserch on the Construction and Realization of Synchronization System for Wireless Spital Database Based on UUID

Liangong¹

2015

TOAUTOCJ

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“…As an innovative management tools and technology forecasting methods, it can effectively analyze the future market direction of the industry, the implementation path of the key technology and plan of the research and development project. And it also guides people to make effective and rational allocation of resources, to provide services in order to enhance the innovation capacity and competitiveness of the industry [4].…”

Section: Introductionmentioning

confidence: 99%

Establishment Research on Industry Technology Roadmapping for Technology Innovation

Hong

Liu

et al. 2013

AMM

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Industry technology roadmapping can help industries to identify their economic, social and environmental conditions, identify market demand and industry technology priorities, and improve industry research and application capacities of new technologies. This paper provides an overview of the origins of technology roadmapping, explaines the development and application process of the industry technology roadmapping, and describes the establishment process of the industry technology roadmapping. The role of the industry technology roadmapping is point out. The core content of various stages of the establishment the industry technology roadmapping is clarified. It is used in the process of marine pump industry innovation practice. Analysis results of market demand, industry objectives, technical barriers, key technologies and available resources are given. The marine pump industry technology roadmapping is established.

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“…Furthermore, a novel concept of resource flow has been introduced for an intelligent and autonomous cognitive resource management under various types of resource [4]. Besides, other key technologies and applications have also been discussed in this special topic, such as the cognitive engine design [5], delay performance analysis [6], reconfiguration decision making [7], bio-inspired approaches and applications [8] and energy-efficient spectrum-aware clustering for cognitive radio sensor networks [9]. Therefore, this special topic will provide a comprehensive introduction to cognitive wireless network theory and technology, reduce the gap between science and engineering communities and promote innovations for future wireless network evolution.…”

mentioning

confidence: 99%

In the development of wireless cognitive science

2012

Chin. Sci. Bull.

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In the development of wireless cognitive scienceRecently, driven by the technology innovations and application requirements, wireless network technologies developed rapidly with high data rate and wide system bandwidth, which have already changed the way that people usually communication with each other. As different radio access technologies based wireless networks are deployed extensively in big cities and rural areas, we are facing challenges of heterogeneous network coexistence. Furthermore, radio spectrum is an essential and non-renewable resource for wireless communication, which is facing the spectrum scarcity and spectrum underutilized problems. Therefore, how to realize heterogeneous network convergence and how to improve spectrum efficiency are big issues in future wireless networks.Cognitive wireless network (CWN) is defined as a wireless network employing technology to obtain knowledge of its operational and geographical environment, established policies and its internal state; to dynamically and autonomously adjust its operational parameters and protocols according to its obtained knowledge in order to achieve end-to-end network objectives; and to learn from the results obtained. In China, cognitive wireless network theory and technology has also been set as an important long-term research direction for future wireless network evolution.The purpose of this special topic is to disseminate cutting-edge research results, highlight research challenges and open issues, and promote further research interests and activities in fundamental theories and key technologies in CWN. This special topic consists of nine research and review articles selected from over twenty high-quality submissions. The published articles address a variety aspect of fundamental theory problems and key technology issues in CWN. A review of cognitive radio networks aiming at intelligent and efficient development of wireless networks has been proposed which includes a brief introduction of the network architecture, cognitive abilities, autonomous decision making techniques, testbeds and standards [1]. Moreover, in order to improve the detection performance with multiple secondary users, a fully decentralized cooperative spectrum sensing scheme based on the consensus theory and unsupervised learning technology has been proposed and verified [2]. Additionally, the cognitive pilot channel technology as an efficient and accurate cognitive information delivery scheme has also been designed by using a dynamic mesh grouping scheme based on the fractal theory [3]. Furthermore, a novel concept of resource flow has been introduced for an intelligent and autonomous cognitive resource management under various types of resource [4]. Besides, other key technologies and applications have also been discussed in this special topic, such as the cognitive engine design [5], delay performance analysis [6], reconfiguration decision making [7], bio-inspired approaches and applications [8] and energy-efficient spectrum-aware clustering for cognitive radio s...

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Reconfiguration decision making in cognitive wireless network

Cited by 4 publications

References 18 publications

Reaserch on the Construction and Realization of Synchronization System for Wireless Spital Database Based on UUID

Reaserch on the Construction and Realization of Synchronization System for Wireless Spital Database Based on UUID

Establishment Research on Industry Technology Roadmapping for Technology Innovation

In the development of wireless cognitive science

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