Performance Analysis with Modulations in Web Server of IEEE 802.15.4 for WSNs

Authors

  • Ashok K Yadav   omputer Science & Engineering, BIET, Jhansi, Uttar Pradesh, India
  • A K Solanki  Computer Science & Engineering, BIET, Jhansi, Uttar Pradesh, India
  • Sukhvinder S Bamber  Computer Science & Engineering. Panjab University SSG Regional Centre, Punjab, India

Keywords:

Wireless Sensor Networks (WSNs), MSK, DPSK, Wireless Personal Area Network (WPAN), and QAM_64

Abstract

The major purpose of this paper is to study and find effects of modulation techniques namely MSK, DPSK and QAM_64 on performance of IEEE 802.15.4 which is predefined mechanism in case of Wireless Sensor Network (WSNs). Further, modulation techniques are studied & compared on the basis of various parameters like collisions, end-to-end delay, traffic sent & traffic received. Parameters at different layers i.e. physical, MAC layer and application layer are considered and the results were analyzed. Overall, depending upon the expectations from system there is a tradeoff between the three modulation scenarios.

References

  1. Nele Dael, Marcello Mortillaro, and Klaus R. Scherer University of Geneva.,” Emotion Expression in Body Action and Posture”., American Psychological Association 2012, Vol. 12, No. 5, 1085–1101.
  2. Konrad Schindlera, Luc Van Goola,b, Beatrice de Gelderc.,” Recognizing Emotions Expressed by Body Pose: a Biologically Inspired Neural Model”
  3. Ginevra Castellano, Santiago D. Villalba, and Antonio Camurri., Infomus Lab, DIST, University of Geno MLG, School of Computer Science and Informatics, University College Dublin., “Recognising Human Emotions from Body Movement and Gesture Dynamics“.
  4. Radoslaw Niewiadomski, Maurizio Mancini, Giovanna Varni, Gualtiero Volpe, and Antonio Camurri,.” Automated Laughter Detection From Full-Body Movements”,. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, VOL. 46, NO. 1, FEBRUARY 2016.
  5. Jing Zhu & Paul Thagard. “Emotion And Action”., Philosophical Psychology, Vol. *15, No. 1.
  6. Nesrine Fourati, Catherine Pelachaud . “Relevant body cues for the classification of emotional body expression in daily actions”,8/15/$31.00 ©2015 IEEE.
  7. Neha Shirbhate ,Kiran Talele, Mumbai, India. ”Human Body Language Understanding for Action Detection using Geometric Features” 2016, IEEE.
  8. Bruce D. Keefe & Matthias Villing & Chris Racey & Samantha L. Strong & Joanna Wincenciak & Nick E. Barraclough.,” A database of whole-body action videos for the study of action, emotion, and untrustworthiness”.
  9. Haris Zacharatos, Christos Gatzoulis and Yiorgos Chrysanthou ”Automatic Emotion Recognition based on Body Movement Analysis:A Survey”.,
  10. J. Arunnehru and Kalaiselvi M Geetha. “Automatic Activity Recognition for Video Surveillance”. International Journal of Computer Applications, Published by Foundation of Computer Science, New York, USA, August 2013.
  11. M. Kalaiselvi Geetha, S. Palanivel, “Video Classification and Shot Detection for Video Retrieval Applications”, International Journal of Computational Intelligence Systems, vol. 2, no. 1, pp. 39-50, March 2009.
  12. J. Arunnehru, M. Kalaiselvi Geetha, “Motion Intensity Code for Action Recognition in Video Using PCA and SVM ”, Lecturer Notes in Artificial Intelligence (LNAI), Springer International Publishing, Switzerland, Vol. 8284, pp. 70–81, December 2013.
  13. Arunnehru, J., and M. Kalaiselvi Geetha, “Automatic Human Emotion Recognition in Surveillance Video.” Intelligent Techniques in Signal Processing for Multimedia Security, Springer-Verlag, pp. 321-342, Oct. 2017.
  14. Michael Garber-Barron , Mei Si .,”Using Body Movement and Posture for Emotion Detection in Non-Acted Scenarios”., WCCI 2012 IEEE World Congress on Computational Intelligence June, 10-15, 2012 - Brisbane, Australia.
  15. Imen Tayari Meftah, Nhan Le Thanh, and Chokri Ben Amar,” Emotion Recognition Using KNN Classification for User Modeling and Sharing of Affect States”, Springer-Verlag Berlin Heidelberg 2012.
  16. Yang, Jian Cheng, Hanqing Lu,” Human Activity Recognition Based On The Blob Features” National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 100190.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ashok K Yadav , A K Solanki, Sukhvinder S Bamber, " Performance Analysis with Modulations in Web Server of IEEE 802.15.4 for WSNs , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1563-1566, March-April-2018.