A Routing Algorithm of Auxiliary DSDV Based on Neural Networks Prediction

Author

Di Wu ; Gao, Hongyan ; Tong, Ning

Author_Institution

Dalian Univ. of Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

2984

Lastpage

2988

Abstract

According to the feature of ad hoc networks, a predictive model of improved Elman recursive neural network is proposed. The predictive model can be used to predict the minimum hops of ad hoc nodes and thus can predict the movements of the nodes. A new algorithm to update and maintain the routing table is proposed based on the predictive model and routing change rule. The new algorithm called routing update algorithm of the minimum hops. DSDV algorithm is improved based on the routing update algorithm of the minimum hops and a routing algorithm of auxiliary DSDV is proposed. The simulating test proved that the routing algorithm of auxiliary DSDV has smaller energy consumption and delay than DSDV algorithm in the routing table update and maintenance

Keywords

ad hoc networks; neural nets; telecommunication network routing; Elman recursive neural network; ad hoc networks; auxiliary DSDV; destination sequenced distance vector; energy consumption; minimum hops; routing update algorithm; Ad hoc networks; Delay; Electronic mail; Energy consumption; Neural networks; Prediction algorithms; Predictive models; Routing; Testing; Unicast; Ad hoc networks; DSDV Routing Algorithm; Elman; Neural Networks; Prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712913

Filename

1712913