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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:LI Xi,JI Hong,ZHENG Rui-ming.Peer selecting model based on FCM for wireless distributed P2P files sharing systems[J].Journal of Harbin Institute Of Technology(New Series),2010,17(5):593-599.DOI:10.11916/j.issn.1005-9113.2010.05.001.
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Peer selecting model based on FCM for wireless distributed P2P files sharing systems
Author NameAffiliation
LI Xi Key Lab of Universal Wireless Communications,Ministry of Education,Beijing 100876,China 
JI Hong Key Lab of Universal Wireless Communications,Ministry of Education,Beijing 100876,China 
ZHENG Rui-ming School of Telecommunication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China 
Abstract:
IIn order to improve the performance of wireless distributed peer-to-peer(P2P)files sharing systems,a general system architecture and a novel peer selecting model based on fuzzy cognitive maps(FCM)are proposed in this paper.The new model provides an effective approach on choosing an optimal peer from several resource discovering results for the best file transfer.Compared with the traditional min-hops scheme that uses hops as the only selecting criterion,the proposed model uses FCM to investigate the complex relationships among various relative factors in wireless environments and gives an overall evaluation score on the candidate.It also has strong scalability for being independent of specified P2P resource discovering protocols.Furthermore,a complete implementation is explained in concrete modules.The simulation results show that the proposed model is effective and feasible compared with min-hops scheme,with the success transfer rate increased by at least 20% and transfer time improved as high as 34%.
Key words:  wireless P2P files sharing systems  peer selecting model  fuzzy cognitive maps
DOI：10.11916/j.issn.1005-9113.2010.05.001
Clc Number:TP393.02
Fund:

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