A Trustworthy QoS Unicast Routing Scheme Based on Population Adaptive Based Immune Algorithm

In this paper, a trustworthy QoS unicast routing scheme based on trustworthy network is proposed. First, a cognitive network model is designed, referring to the intelligence of artificial immune system. Then, trustworthiness of each node is evaluated by deploying sliding window mechanism and analyzi...

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Vydáno v:Applied Mechanics and Materials Ročník 602-605; číslo Advanced Manufacturing and Information Engineering, Intelligent Instrumentation and Industry Development; s. 3084 - 3087
Hlavní autoři: Huang, Min, Liu, Jin Yang, Wang, Xing Wei
Médium: Journal Article
Jazyk:angličtina
Vydáno: Zurich Trans Tech Publications Ltd 11.08.2014
Témata:
Adaptive algorithms
Algorithms
Artificial intelligence
Computer networks
Networks
Quality of service architectures
Routing (telecommunications)
Trustworthiness
Population Adaptive Based Immune
Trustworthy Network
QoS Unicast Routing
ISBN:9783038351948, 3038351946
ISSN:1660-9336, 1662-7482, 1662-7482
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Shrnutí:In this paper, a trustworthy QoS unicast routing scheme based on trustworthy network is proposed. First, a cognitive network model is designed, referring to the intelligence of artificial immune system. Then, trustworthiness of each node is evaluated by deploying sliding window mechanism and analyzing the behavior record of each node. Finally, a population adaptive based immune of trustworthy QoS unicast routing algorithm is proposed, referring to the adaptive process of antibody identifying antigen. We verify the effectiveness of our scheme by using large-scale computer emulation experiments and compare it to existing classical algorithms. The results show that the proposed algorithm is both feasible and effective for providing users with better QoS, etc.
Bibliografie:Selected, peer reviewed papers from the 2014 2nd International Conference on Precision Mechanical Instruments and Measurement Technology (ICPMIMT 2014), May 30-31, 2014, Chongqing, China
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ISBN:9783038351948
3038351946
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.602-605.3084