FPGA implementation of ANN for reactive routing protocols in MANET

Abstract

This paper presents Artificial Neural Network (ANN) based Ad-hoc On-demand Distance Vector (AODV) routing protocol for Mobile Ad-Hoc Networks (MANETs). Limited bandwidth and transmission characteristic impose administrative and control information to update the dynamic change in the MANET topology. Information update at some fixed time interval can cause unnecessary traffic in the wireless network so to make adaptive time interval of these messages is a technique to improve the performance of the network. The various soft computing techniques are available to control the adaptiveness of the system. In this paper ANN based AODV reactive routing protocol is proposed to determine the frequency of Hello messages of AODV reactive routing protocol to improve the performance of the MANET. This paper describes the design and modeling of an ANN using Verilog Hardware Descriptive Language (VHDL) implementation of hardware of ANN using FPGA.