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4th International ICST Conference on Communications and Networking in China

Research Article

The construction of knowledge base in cognitive wireless network based on network situation-aware

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CHINACOM.2009.5339741,
        author={SHAO  Fei  and YU  Quan and WANG  Li-feng and WEI  Sheng-Qun },
        title={The construction of knowledge base in cognitive wireless network based on network situation-aware},
        proceedings={4th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2009},
        month={11},
        keywords={Cognitive wireless network; knowledge base; network  Situation-Aware; NSGA-Ⅱ; fuzzy - decision;},
        doi={10.1109/CHINACOM.2009.5339741}
    }
    
  • SHAO Fei
    YU Quan
    WANG Li-feng
    WEI Sheng-Qun
    Year: 2009
    The construction of knowledge base in cognitive wireless network based on network situation-aware
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2009.5339741
SHAO Fei 1,*, YU Quan2, WANG Li-feng2, WEI Sheng-Qun 2
  • 1: The School of Telecommunications Engineering Xidian University Shaanxi, 10071,China
  • 2: Institute of China Electronic System Engineering Corporation Beijing, 100039, China
*Contact email: Shaofei715@163.com

Abstract

How to realize the cognitive capability is a key point to realize the cognitive wireless network. The research of cognitive wireless network is still at the primary stage, even not having a unique, accepted network architecture and implementation method. The construction of knowledge base in cognitive wireless network based on network situation-aware in the paper is deeply investigated in unfixed establishment network such as Ad hoc. The combination of NSGA-II and fuzzy decision is applied to constructing the knowledge base in cognitive wireless network from the aspect of network situation-aware and protocol configuration. Simulation result shows that: with variation of channel quality and network traffic load, performance will greatly be improved when the mechanism of reconfiguration is adopted, the average time delay will be decreased to 50% above that of worst performance; the ratio of calling success will be increased to 100%, and the throughput will be increased to 20%.

Keywords
Cognitive wireless network; knowledge base; network Situation-Aware; NSGA-Ⅱ; fuzzy - decision;
Published
2009-11-20
Publisher
IEEE
http://dx.doi.org/10.1109/CHINACOM.2009.5339741
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