ARTIFICIAL NEURAL NETWORK USING BACK PROPAGATION ALGORITHM IN DISTRIBUTED MANETs

被引：0

作者：

Roopa, M. ^{[1
]}

Raja, S. SelvaKumar ^{[2
]}

机构：

[1] Sathyabama Univ, Dept ECE, Madras, Tamil Nadu, India

[2] Univ Gondar, Dept ECE Org, Gondar, Ethiopia

来源：

2016 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES) | 2016年

关键词：

Neural Network; Cluster head; MANET; AD HOC NETWORKS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A MANET is an infrastructureless network with nodes that are dynamic in nature. In recent years many research has been effectively made for providing security mechanisms in Ad Hoc networks. In this paper we propose a important clustering technique using an Multi Layer perceptron neural networks to select a cluster head. The cluster head is selected using mobility and residual energy as the attributes and is proved to be highly efficient as compared with the earlier methods.

引用

页数：4

共 13 条

[1]

Agarwal R., 2009, International Journal on Compute Science and Engineering, vol, V1, P98

[2]

[Anonymous], P 1998 NAT INF SYST

[3] A Survey on One-Hop Clustering Algorithms in Mobile Ad Hoc Networks [J].