DocumentCode :
2017234
Title :
An integrated neuro configuration management approach for hybrid mobile communication networks
Author :
El-Said, Mostafa M. ; Kumar, Anup ; Elmaghraby, Adel S.
Author_Institution :
CECS Dept., Louisville Univ., KY, USA
fYear :
2002
fDate :
2002
Firstpage :
315
Lastpage :
320
Abstract :
Hybrid mobile communication is a mixed mode network version of wired and wireless components. Hybrid networks occur in many situations such as a military warfare theatre and extended range commercial cellular networks. This paper proposes an integrated configuration management approach for hybrid communication networks. The issues addressed and resolved by the proposed approach are: (i) an automated configuration management system using a clustering technique, self organizing map (SOM) implemented by neural networks; (ii) a novel network self-healing survivability approach to handle the network failure scenario; (iii) network performance integration in the design and reconfiguration of hybrid networks.
Keywords :
cellular radio; military communication; self-organising feature maps; telecommunication computing; telecommunication network management; telecommunication network planning; telecommunication network reliability; battlefield networks; commercial cellular networks; hybrid mobile communication networks; integrated configuration management; military warfare theatre; network failure; network management; network planning; network self-healing survivability; network topology; neural nets clustering; neuro configuration management; self organizing map; Communication networks; Computational modeling; Computer simulation; Intelligent networks; Land mobile radio cellular systems; Mobile communication; Neural networks; Organizing; Spine; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Communications, 2002. Proceedings. ISCC 2002. Seventh International Symposium on
ISSN :
1530-1346
Print_ISBN :
0-7695-1671-8
Type :
conf
DOI :
10.1109/ISCC.2002.1021695
Filename :
1021695
Link To Document :
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