DocumentCode
2137353
Title
A trusted QoS rerouting mechanism based on vaccination immune genetic optimization
Author
Lei Yang ; Xing-Wei Wang ; Min Huang
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2013
fDate
23-25 July 2013
Firstpage
760
Lastpage
765
Abstract
Node or link failures and users´ mobility are common in trusted network. A QoS (Quality of Service) rerouting mechanism based on vaccination immune genetic optimization is proposed to recover from such failures. The main idea behind this rerouting mechanism lies in maximizing the users´ QoS and trusted requirements and the link reuse ratio of the original connection. This paper presents a network model and description of users´ requirements. Satisfaction degree functions are given to measure users´ satisfaction about paths. In particular, a link trust evaluation model is established based on Bayesian inference. The simulation results have shown that the proposed mechanism is both feasible and effective, and it improves the rerouting success rate and the user satisfaction degree with users´ demands satisfied.
Keywords
genetic algorithms; mobile computing; quality of service; trusted computing; Bayesian inference; Quality of Service rerouting mechanism; link failures; node failures; trust evaluation model; trusted QoS rerouting mechanism; trusted network; trusted requirements; user mobility; vaccination immune genetic optimization; Bandwidth; Delays; Jitter; Quality of service; Sociology; Statistics; TV; QoS (Quality of Service); genetic optimization; rerouting mechanism; satisfaction degree; trust evaluation; trusted network;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/ICNC.2013.6818077
Filename
6818077
Link To Document