International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 140 - Issue 6 |
Published: April 2016 |
Authors: Prativa P. Saraswala, Jaymin Bhalani, Sandhya Sharma |
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Prativa P. Saraswala, Jaymin Bhalani, Sandhya Sharma . Comparative Performance Analysis of AODV Parameter for ZigBee Network using Artificial Neural Network. International Journal of Computer Applications. 140, 6 (April 2016), 20-25. DOI=10.5120/ijca2016909331
@article{ 10.5120/ijca2016909331, author = { Prativa P. Saraswala,Jaymin Bhalani,Sandhya Sharma }, title = { Comparative Performance Analysis of AODV Parameter for ZigBee Network using Artificial Neural Network }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 140 }, number = { 6 }, pages = { 20-25 }, doi = { 10.5120/ijca2016909331 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Prativa P. Saraswala %A Jaymin Bhalani %A Sandhya Sharma %T Comparative Performance Analysis of AODV Parameter for ZigBee Network using Artificial Neural Network%T %J International Journal of Computer Applications %V 140 %N 6 %P 20-25 %R 10.5120/ijca2016909331 %I Foundation of Computer Science (FCS), NY, USA
This paper emphasizes on the signal transmission range of Zigbee network based on IEEE 802.15.4 standard using Simulink-based simulator called TRUE TIME 2.1. Ad hoc On-Demand Distance Vector (AODV) Routing is implemented in TRUE TIME 2.1. Here a comparison is made between the three Artificial Neural Network Architectures such as Feed forward neural network, Cascade forward neural network and Layered Recurrent Neural Network for various training functions like Levenberg-Marquardt back propagation (trainlm), Bayesian regularization back propagation (trainbr) and BFGS quasi-Newton back propagation (trainbfg) for Feed Forward Neural Network.