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Trust based Evaluation System using Signal Noise Detection for MANET and Noise Reduction by Comparative Analysis between Alpha Beta Filter and Kalman Filter
Author(s) -
Jayanta Das,
Abhijit Das
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016908083
Subject(s) - computer science , kalman filter , noise reduction , noise (video) , filter (signal processing) , signal (programming language) , alpha (finance) , speech recognition , artificial intelligence , computer vision , statistics , mathematics , image (mathematics) , programming language , construct validity , psychometrics
Security and trust are two inevitable concept for secure MANET. There are various systems used for ensuring security and trust in case of MANET. These systems has several advantages as well as several disadvantages in terms high communication and computation overhead. In this proposed trust based system, trust is evaluated on the basis of detection of signal noise and after that reduction of noise as much as possible with the help of Alpha Beta Filter as well as Kalman filter once the signal is flowing from one node to another node. In this paper, it is also able to show that using Kalman filter is more advantageous than alpha beta filter for reducing the error due to noise. General Terms Mobile Communication, Security, Algorithms.

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