DocumentCode :
3436112
Title :
A Novel Fault Diagnosis System for MANET Based on Hybrid GA-BP Algorithm
Author :
Huang, Guangjie ; Guo, Wei ; Su, Jian
Author_Institution :
Nat. Key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
With the fast development of mobile ad hoc networks (MANETs), fault diagnosis has become a critical need to guarantee robust service for various applications. Many techniques have been suggested to solve this problem, but they still cannot satisfy the special need of MANETs. In this paper, we propose a new fault diagnosis system using hybrid GA-BP neural network. The results of simulation demonstrate that the performance of this system is excellent.
Keywords :
ad hoc networks; backpropagation; fault diagnosis; genetic algorithms; mobile radio; neural nets; telecommunication computing; MANET; fault diagnosis system; hybrid GA-BP neural network; mobile ad hoc networks; Artificial neural networks; Fault diagnosis; Feeds; Genetic algorithms; Laboratories; Mobile ad hoc networks; Mobile communication; Neural networks; Neurons; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.617
Filename :
4678525
Link To Document :
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