Intelligent MANET

Author

Masillamani, M. Roberts ; Jamalipour, Abbas ; Uma, GV

Author_Institution

Hindustan Coll. of Eng., Chennai

fYear

2007

fDate

25-28 Nov. 2007

Firstpage

408

Lastpage

413

Abstract

This paper implements neuro-genetic intelligence for quick route rebuilding in MANET for improving the performance of the network. The various performance improvements are achieved by introducing the concept of artificial neural network (ANN) using back-propagation algorithm (BPA)in combination with genetic algorithm (GA) keeping the Ad Hoc on-demand distance vector (AODV) as the basis. When there is termination of routes due to unpredicted movement of the mobile equipment in the network, the neuro-genetic intelligence rebuilds the network with the learnt weights. The intelligent method suggested appears to provide improved routing due to the integration of the of AODV, ANN and GA algorithm.

Keywords

ad hoc networks; backpropagation; genetic algorithms; mobile radio; neural nets; telecommunication computing; telecommunication network routing; ad hoc on-demand distance vector; artificial neural network; back-propagation algorithm; genetic algorithm; intelligent mobile ad hoc network; mobile equipment; route rebuilding; Ad hoc networks; Artificial intelligence; Artificial neural networks; Genetic algorithms; Intelligent networks; Intelligent systems; Mobile ad hoc networks; Protocols; Quality of service; Routing; ANN; AODV; Ad hoc; BPA; GA Neuro-genetic; Intelligence; Routing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-1355-3

Electronic_ISBN

978-1-4244-1356-0

Type

conf

DOI

10.1109/ICIAS.2007.4658418

Filename

4658418