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Interference Reduction Technique in Mobile Adhoc Networks using Mathematical Prediction Filters

by G. Suseendran, E. Chandrasekaran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 6
Year of Publication: 2012
Authors: G. Suseendran, E. Chandrasekaran
10.5120/9694-0843

G. Suseendran, E. Chandrasekaran . Interference Reduction Technique in Mobile Adhoc Networks using Mathematical Prediction Filters. International Journal of Computer Applications. 60, 6 ( December 2012), 9-16. DOI=10.5120/9694-0843

@article{ 10.5120/9694-0843,
author = { G. Suseendran, E. Chandrasekaran },
title = { Interference Reduction Technique in Mobile Adhoc Networks using Mathematical Prediction Filters },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 6 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 9-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number6/9694-0843/ },
doi = { 10.5120/9694-0843 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:07:42.440934+05:30
%A G. Suseendran
%A E. Chandrasekaran
%T Interference Reduction Technique in Mobile Adhoc Networks using Mathematical Prediction Filters
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 6
%P 9-16
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Interference is one of the major degrading factors of mobile ad hoc networks (MANET). Since, MANET transmits over the single wireless channel; packets of the same flow interfere with each other greatly. This mutual interference causes the bottleneck over the network. Further, predicting interference accurately around a transmitter or receiver is a complicated task. As a solution to these problems, in this paper, we propose an interference reduction technique for MANET using mathematical prediction filters. The technique used Hidden Markov Model (HMM) for predicting the interference of the nodes. Initial transmission power is set by comparing received signal power with minimum and maximum values. During data transmission, RTS and CTS messages are exchanged using initial transmission power level and they include interference value of the source and destination respectively. The source then uses the interference value of the destination to transmit data packet. On the other hand, the destination uses the interference value of the source for transmitting the acknowledgement (ACK) packet to the source. Thus, this interference calculation at both ends reduces the interference. By simulation, we show that our technique reduces the interference considerably.

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Index Terms

Computer Science
Information Sciences

Keywords

Mobile Ad Hoc Networks (MANET) Hidden Markov Model (HMM Interference Reduction Prediction Filters Power control

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