Interference Reduction in Mobile Ad hoc Networks Using HMM Prediction

Proceedings of National Conference on Mathematics of Soft Computing, National Institute of Technology Calicut, 5-7, July 2012

6 Pages Posted: 12 Jun 2019

See all articles by G Suseendran

G Suseendran

VELS Institute of Science, Technology & Advanced Studies (Formerly VELS University) - Department of Information Technology

E. Chandrasekaran

Presidency College

Date Written: July 5, 2012

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 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.

Keywords: Interference, HMM, Power, Prediction, Reduction

Suggested Citation

Suseendran, G and Chandrasekaran, E., Interference Reduction in Mobile Ad hoc Networks Using HMM Prediction (July 5, 2012). Proceedings of National Conference on Mathematics of Soft Computing, National Institute of Technology Calicut, 5-7, July 2012 . Available at SSRN: https://ssrn.com/abstract=3397411

G Suseendran (Contact Author)

VELS Institute of Science, Technology & Advanced Studies (Formerly VELS University) - Department of Information Technology ( email )

Chennai
India

E. Chandrasekaran

Presidency College

Calcutta
India

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