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Queuing Approach to Estimate the MANET’s Optimal Number of Nodes


Affiliations
1 University of Babylon, College of Sciences, Iraq
2 University of Babylon, College of Sciencesq, Iraq
 

Mobile Ad-hoc Network (MANET) was defined as a set of mobile nodes that moved freely and connected among each other without any infrastructure or administrator control. Each node contains a kind of queuing system like buffer used it to serve the arriving packets that reached to the busy node. The packets reaches each node in certain sequence. The number of received (arriving packets) per unit time is called “ arrival rate”. The average rate or the average time between any two successive packets is called the inter- arrival time and follow certain statistical distributions. The node will serve the packets according to certain mechanism (discipline) like drop tail.

The effects of the service mechanism on the behavior of the MANET was studied and tested. Many queuing theory parameters were used to study and analyze the behavior of the MANETs. A mathematical model was built and implemented to estimate the optimal number of nodes required to be deployed in each new designed MANETs environment.


Keywords

MANET, NS-2, DropTail, Mobility Model, Queuing, DSDV, Mathematical Model.
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  • Queuing Approach to Estimate the MANET’s Optimal Number of Nodes

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Authors

Saad Talib Hasson
University of Babylon, College of Sciences, Iraq
Enass Fadil
University of Babylon, College of Sciencesq, Iraq

Abstract


Mobile Ad-hoc Network (MANET) was defined as a set of mobile nodes that moved freely and connected among each other without any infrastructure or administrator control. Each node contains a kind of queuing system like buffer used it to serve the arriving packets that reached to the busy node. The packets reaches each node in certain sequence. The number of received (arriving packets) per unit time is called “ arrival rate”. The average rate or the average time between any two successive packets is called the inter- arrival time and follow certain statistical distributions. The node will serve the packets according to certain mechanism (discipline) like drop tail.

The effects of the service mechanism on the behavior of the MANET was studied and tested. Many queuing theory parameters were used to study and analyze the behavior of the MANETs. A mathematical model was built and implemented to estimate the optimal number of nodes required to be deployed in each new designed MANETs environment.


Keywords


MANET, NS-2, DropTail, Mobility Model, Queuing, DSDV, Mathematical Model.