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Heterogeneous network convergence with artificial mapping for cognitive radio networks

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成果类型:
期刊论文
作者:
Qin, Hang;Su, Jun;Hu, Zhengbing
作者机构:
[Su, Jun; Qin, Hang] Computer School, Yangtze University, Jingzhou 434023, China
[Hu, Zhengbing] College of Information Technology, Journalism and Communication, Huazhong Normal University, Wuhan 430079, China
语种:
英文
期刊:
Sensors & Transducers
ISSN:
2306-8515
年:
2013
卷:
20
期:
SPEC.ISS.4
页码:
27-36
机构署名:
本校为其他机构
院系归属:
新闻传播学院
信息管理学院
摘要:
The artificial mapping scheme is proposed in this paper for adaptive network collaboration of cognitive radio networks. The superiority of the DHT-based overlay for its link state aggregation property, which establishes global convergence for link state aggregation message among a scalable number of nodes, is considered in the analysis. In addition, the fuzzy logic inference can better handle uncertainty, fuzziness, and incomplete information in node convergence report, which is developed as a novel approach to aggregate wireless node control with affordable message overload. The Artificial Ma...

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