NDLI: A trust model based on fuzzy Q-learning algorithm in mobile P2P network

Content Provider	IEEE Xplore Digital Library
Author	Xiaomei Cao Jian Wang Haitao Zhu
Copyright Year	2015
Description	Author affiliation: Lab. of High-tech Wireless Sensor Network in Jiangsu Province, Nanjing Univ. of Posts & Telecommun., Nanjing, China (Xiaomei Cao; Jian Wang; Haitao Zhu)
Abstract	The main function of MP2P network is promoting the collaboration between mobile devices and the resources sharing by direct data exchange. In this paper, we propose a trust model based on fuzzy Q-learning algorithm (FQTM). The FQTM model can maximize mobile nodes' benefits by learning and adapting to unfamiliar environments. This model applies Fuzzy Theory and Game Theory to the calculation process of agents' action-state transition probability. Mobile nodes adjust their decisions constantly based on past records with the policy iteration algorithm, then FQTM updates Q value until it converges to a relatively stable statement. Experiments show that FQTM has a faster speed than greedy strategy of Q-value convergence and help mobile agents to maximize their benefits.
Starting Page	113
Ending Page	116
File Size	547389
Page Count	4
File Format	PDF
e-ISBN	9781479974894
DOI	10.1109/ICIST.2015.7288951
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Computational modeling Artificial neural networks Mobile communication Reliability Mobile computing
Content Type	Text
Resource Type	Article

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