Routing in MANET using Object Neural Approach
| Author(s) | : | Miss. Neha P.Bhakare, Dr. M. S. Ali |
| Institution | : | Department of Computer Science and Engineering Prof. Ram Meghe College of Engineering and Management, Badnera, Amravati University, India |
| Published In | : | Vol. 1, Issue 6 — June 2014 |
| Page No. | : | 211-224 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The field of Mobile Ad hoc Networks (MANETs) has gained an important part of the interest ofresearchers and become very popular in last few years. MANETs can operate without fixed infrastructure and cansurvive rapid changes in the network topology. They can be studied formally as graphs in which the set of edgesvaries in time. The main method for evaluating the performance of MANETs is simulation. The aim of thisdissertation is to develop an object oriented neural network. In this, we are superimposing dynamic neural networkonto MANET, where each node will become an object neuron. In normal neural network we need to generate all thecomponents of neural network manually, but in object neural network, we need to use the neural network objectsdefined in Matlab. In this dissertation we proposed the second order algorithm to train the neural network and objectneural approach which gives faster performance than the traditional approaches. It would give us a distance valuewhich we need to optimize.
Miss. Neha P.Bhakare, Dr. M. S. Ali, “Routing in MANET using Object Neural Approach”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 6, pp. 211-224, June 2014.
