A RADIAL BASIS NEURAL NETWORK CONTROLLER TO SOLVE CONGESTION IN WIRELESS SENSOR NETWORKS

Maab Alaa Hussain

doi:10.25195/ijci.v44i1.103

Abstract

In multihop networks, such as the Internet and the Mobile Ad-hoc Networks, routing is one of the most importantissues that has an important effect on the network’s performance. This work explores the possibility of using the shortest path routingin wireless sensor network . An ideal routing algorithm should combat to find an perfect path for data that transmitted within anexact time. First an overview of shortest path algorithm is given. Then a congestion estimation algorithm based on multilayerperceptron neural networks (MLP-NNs) with sigmoid activation function, (Radial Basis Neural Network Congestion Controller(RBNNCC) )as a controller at the memory space of the base station node. The trained network model was used to estimate trafficcongestion along the selected route. A comparison study between the network with and without controller in terms of: trafficreceived to the base station, execution time, data lost, and memory utilization . The result clearly shows the effectiveness of RadialBasis Neural Network Congestion Controller (RBNNCC) in traffic congestion prediction and control.

Highlights

These days, the problem of congestion has considered an important matter. the Network is congested when the total instances for resources overtake the total ON-state resources
Wireless sensor networks (WSN) have several small devices called sensors, these devices posses the ability to sensing a special phenomenon in the environment, send the sensed information back to one or several base stations
Routing protocols at least proactive and reactive categorizes a proactive routing protocol optimized for mobile ad hoc networks, which can be used for WSN

Summary

Introduction

These days, the problem of congestion has considered an important matter. the Network is congested when the total instances for resources overtake the total ON-state resources. Can be said that the network is become in a congestion state when the load increase on the network. Wireless sensor networks (WSN) have several small devices called sensors, these devices posses the ability to sensing a special phenomenon in the environment, send the sensed information back to one or several base stations. Routing protocols at least proactive and reactive categorizes a proactive routing protocol optimized for mobile ad hoc networks, which can be used for WSN. This protocol facilitates efficient flooding of control messages throughout the network by using selected nodes called Multipoint Relays (MRPs). Reactive routing protocol is intended for Mobile Ad hoc network (MANET) and sensor networks. AODV has two basic operations: route discovery and route maintenance.[3]

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Conclusion