CFP last date
20 December 2024
Reseach Article

Trust based Evaluation System using Signal Noise Detection for MANET and Noise Reduction by Comparative Analysis between Alpha Beta Filter and Kalman Filter

by Jayanta Das, Abhijit Das
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 135 - Number 3
Year of Publication: 2016
Authors: Jayanta Das, Abhijit Das
10.5120/ijca2016908083

Jayanta Das, Abhijit Das . Trust based Evaluation System using Signal Noise Detection for MANET and Noise Reduction by Comparative Analysis between Alpha Beta Filter and Kalman Filter. International Journal of Computer Applications. 135, 3 ( February 2016), 25-30. DOI=10.5120/ijca2016908083

@article{ 10.5120/ijca2016908083,
author = { Jayanta Das, Abhijit Das },
title = { Trust based Evaluation System using Signal Noise Detection for MANET and Noise Reduction by Comparative Analysis between Alpha Beta Filter and Kalman Filter },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 135 },
number = { 3 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 25-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume135/number3/24031-2016908083/ },
doi = { 10.5120/ijca2016908083 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:34:45.677028+05:30
%A Jayanta Das
%A Abhijit Das
%T Trust based Evaluation System using Signal Noise Detection for MANET and Noise Reduction by Comparative Analysis between Alpha Beta Filter and Kalman Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 135
%N 3
%P 25-30
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  1. S. Jeyantha Jafina Juliet Jacquet , M. Varghese “ Role Based and Energy Efficient Trust System for Clustered Wsn.” IOSR Journal of Computer Engineering, Volume 16, Issue 2, Ver. 1(Mar-Apr. 2014), pp 44-48.
  2. Abhijit Das, Soumya Sankar Basu, Atal Chaudhuri, “ A Novel Security Scheme for Wireless Adhoc Network”.
  3. Abhijit Das, Atiqur Rahman, Soumya Sankar Basu, Atal Chaudhuri, “Energy Aware Topology Security Scheme for Mobile Ad Hoc Network” .
  4. Jashanvir Kaur, Er. Sukhwinder Singh Sran, “SBPGP Security based Model in Large Scale Manets” International Journal of Wireless Networks and Communications, Volume 5, Number 1(2013), pp 1-10 .
  5. Eli Brookner, "Tracking and Kalman Filtering Made Easy," Wiley-Interscience, April 1998
  6. Mayiatis, D. E., "Comparison of an Alpha-Beta and Kalman Filter in Track While Scan Radars," NAVAL POSTGRADUATE SCHOOL MONTEREY CA, Diplomarbeit, 1976. http://www.stealthskater.com/ Documents/Radar_02.pdf [21 March, 2013]
  7. Wikipedia, “Alpha beta filter,” 6 February 2013. [Online]. Available: http://en.wikipedia.org/wiki/Alpha_beta_filter
  8. Nidh Mittal, Janish “ Performance Evaluation of AODV and DSDV under Seniority based Pretty Good Privacy Model ” International Journal of Scientific and Engineering Research, Volume 4, Issue 6, June 2013, pp 943-949.
  9. Prakash C. Gupta “Data Communications “ Publisher-Prentice Hall of India, Version May 1999, pp-59.
  10. John Davies ” Use of Kalman filters in time and frequency analysis .” National Physical Laboratory, 1st May, 2011.
  11. Welch, G and Bishop, “An Introduction to the Kalman Filter .” http://www.cs.unc.edu/~welch/kalman/, 2001
Index Terms

Computer Science
Information Sciences

Keywords

Alpha Beta Filter MANET Kalman Filter Security signal Noise Trust