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Reseach Article

A Simplified Analytical Model for End-To-End Delay Analysis in MANET

Published on None 2010 by Rakesh Kumar, Manoj Misra, Anil K. Sarje
Mobile Ad-hoc Networks
Foundation of Computer Science USA
MANETS - Number 4
None 2010
Authors: Rakesh Kumar, Manoj Misra, Anil K. Sarje
2747d2a1-1556-48e7-a529-7f9711770810

Rakesh Kumar, Manoj Misra, Anil K. Sarje . A Simplified Analytical Model for End-To-End Delay Analysis in MANET. Mobile Ad-hoc Networks. MANETS, 4 (None 2010), 195-199.

@article{
author = { Rakesh Kumar, Manoj Misra, Anil K. Sarje },
title = { A Simplified Analytical Model for End-To-End Delay Analysis in MANET },
journal = { Mobile Ad-hoc Networks },
issue_date = { None 2010 },
volume = { MANETS },
number = { 4 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 195-199 },
numpages = 5,
url = { /specialissues/manets/number4/1033-81/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Mobile Ad-hoc Networks
%A Rakesh Kumar
%A Manoj Misra
%A Anil K. Sarje
%T A Simplified Analytical Model for End-To-End Delay Analysis in MANET
%J Mobile Ad-hoc Networks
%@ 0975-8887
%V MANETS
%N 4
%P 195-199
%D 2010
%I International Journal of Computer Applications
Abstract

In order to provide quality delivery to delay sensitive applications such as voice and video, it is extremely important that mobile Ad hoc networks provide quality of service (QoS) support in terms of bandwidth and delay. In spite of using IEEE 802.11 as medium access control (MAC), most of the Ad hoc routing protocols do not consider MAC delay contention time, which occurs, in the medium reservation. Large contention times can be more critical than hop counts in determining the end-to-end delay. Most existing MANET routing protocols such as AODV, DSR and OLSR are designed to search for the shortest path with minimum hop counts. However, the shortest routes do not always provide the best performance, especially when there are congested nodes along these routes. In this paper we present an analytical model for average end-to-end delay that takes into account the packet arrival process, backoff and collision avoidance mechanisms of random access MAC between a pair of source and destination and compares the end-to-end delay experienced by a QoS AODV protocol. The proposed analytical model results closely match with the results obtained from our simulations.

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Index Terms

Computer Science
Information Sciences

Keywords

Mobile Ad hoc network AODV QoS delay MAC NS2 Modeling