DocumentCode :
2488202
Title :
The construction of knowledge base in cognitive wireless network based on network situation-aware
Author :
Shao Fei ; Yu Quan ; Wang Li-feng ; Wei Sheng-Qun
Author_Institution :
Sch. of Telecommun. Eng., Xidian Univ., Shaanxi, China
fYear :
2009
fDate :
26-28 Aug. 2009
Firstpage :
1
Lastpage :
6
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 radio; fuzzy set theory; genetic algorithms; telecommunication traffic; NSGA-II; channel quality variation; cognitive wireless network; fuzzy decision; knowledge base construction; network situation-aware; network traffic load; Access protocols; Ad hoc networks; Cognition; Delay effects; Fuzzy reasoning; Knowledge engineering; Telecommunication traffic; Throughput; Wireless application protocol; Wireless networks; NSGA-II; cognitive wireless network; fuzzy-decision; knowledge base; network Situation-Aware;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Networking in China, 2009. ChinaCOM 2009. Fourth International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4244-4337-6
Electronic_ISBN :
978-1-4244-4337-6
Type :
conf
DOI :
10.1109/CHINACOM.2009.5339741
Filename :
5339741
Link To Document :
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