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Improved QoS by Clustering Identically Modulated WSN Nodes using Reprogrammable High Speed Architecture

by K. Senthamil Selvan, S. Ravi, Fathima Jabeen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 8
Year of Publication: 2013
Authors: K. Senthamil Selvan, S. Ravi, Fathima Jabeen
10.5120/11600-6963

K. Senthamil Selvan, S. Ravi, Fathima Jabeen . Improved QoS by Clustering Identically Modulated WSN Nodes using Reprogrammable High Speed Architecture. International Journal of Computer Applications. 68, 8 ( April 2013), 28-33. DOI=10.5120/11600-6963

@article{ 10.5120/11600-6963,
author = { K. Senthamil Selvan, S. Ravi, Fathima Jabeen },
title = { Improved QoS by Clustering Identically Modulated WSN Nodes using Reprogrammable High Speed Architecture },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 8 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number8/11600-6963/ },
doi = { 10.5120/11600-6963 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:17.314403+05:30
%A K. Senthamil Selvan
%A S. Ravi
%A Fathima Jabeen
%T Improved QoS by Clustering Identically Modulated WSN Nodes using Reprogrammable High Speed Architecture
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 8
%P 28-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A technique for grouping different modulation schemes in a nodal management network (by clustering identically modulated nodes) is presented in this paper. The modulation tracking scheme localizes a specific node (allocated with a unique, but dynamically varying modulation scheme). The clustering mechanism to group the identical nodes exists intrinsically. The proposed modulation identification scheme and clustering mechanism are implemented using high speed architectures and the performance of the proposed approach is validated for multiple modulation scenarios.

References
  1. S. R. Boselin Prabhu, "A Survey of Adaptive Distributed Clustering Algorithms for Wireless Sensor Networks", International Journal of Computer Science & Engineering Survey (IJCSES) Vol. 2, No. 4, pp. 165-176, India, November 2011
  2. Mary Mathews , Min Song, Sachin Shettyc, Frederic D. McKenzied, "An Anomaly-based Algorithm to Detect Compromised Nodes in Wireless Sensor Networks", 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing(SNPD 2007),Vol. 1, pp273-278, 2007
  3. Rachsuda Jiamthapthaksin, Christoph F. Eick, and Vadeerat Rinsurongkawong, "An Architecture and Algorithms for Multi-Run Clustering", IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009, Vol. 1, pp. 306-313, Nashville, TN, USA, April 2, 2009.
  4. Henrique C. Miranda, Pedro C. Pinto, Sérgio B. Silva, "A self-reconfigurable Receiver Architecture for Software Radio Systems". Radio and Wireless conference, RAWCON'03, pp. 241-244, August 2003.
  5. Raúl Malavia Marín, "A pragmatic Approach to Modulation Scaling Based Power Saving for Maximum Communication Path Lifetime in Wireless Sensor Networks", Thesis of Master of science of Electronics, Norwegian University of Science and Technology, June 2008
  6. Hai Xu, Hee-Jun Kim and Won-Sup Chung, "Experimental Identification Method for Small-Signal Analysis of Smart Power ICS", IEEE Transactions n industrial electronics, Vol. 57, No. 6, pp. 2142-2150, June 2010.
  7. Lin Xu, Noam Ophir, Michael Menard, Ryan Kin Wah Lau, Amy C. Turner-Foster, Mark A. Foster, Michal Lipson, Alexander L. Gaeta, and Keren Bergman, "Simultaneous wavelength conversion of ASK and DPSK signals based on four-wave-mixing in dispersion engineered silicon waveguides "OPTICS EXPRESS", Vol. 19, No. 13, pp. 12172-12179, June 2011
  8. Ameer Ahmed Abbasi a, Mohamed Younis, "A survey on clustering algorithms for wireless sensor networks" Published by Elsevier Computer Communications, Vol. 30,pp. 2826–2841, June 2007
  9. Puneet Prashant Newaskar, "High-Speed Data Conversion for Digital Ultra-Wideband Radio Receivers" Submitted to the requirements for the degree of Master of Science in Electrical Engineering and Computer Science at the Massachusetts institute of technology, June 2003
  10. Parul Agarwal,M. Afshar Alam, Ranjit Biswas, "Issues, Challenges and Tools of Clustering Algorithms", International Journal of Computer Science Issues, (IJCSI) Vol. 8, Issue 3, No. 2,pp. 523-528, May 2011
  11. CH. Nagarjuna Reddy, Mrs. B. R. Sujatha "TDOA Computation Using Multicarrier Modulation for Sensor Networks", International Journal of Computer Science & Communication Networks, Vol 1(1),pp. 85-90, September-October 2011
  12. Liang CHEN, Jun'an LU, "Cluster synchronization in a complex Dynamical network with two Non identical clusters", Jnl. Syst Sci & Complexity, Springer Science/ Business Media, LLC, pp. 20-33. 2008
  13. Matthew J. Sottile Ronald G. Minnich, Supermon: "A high-speed cluster monitoring system", IEEE International Conference on Cluster Computing, pp. 39-46, 2002.
  14. S. B. Kotsiantis, P. E. Pintelas, "Recent Advances in Clustering: A Brief Survey", Journal of WSEAS Transactions on Information Science and Applications, pp. 73-81, 2004
  15. Daniel Bielefeld, Gernot Fabeck, Rudolf Mathar, "Power allocation and node clustering for Distributed detection in IR-UWB sensor networks", VTC fall-2009, IEEE,Vol-1,pp. 978-982
  16. Jakob R. Olesen, Jorge Cordero H. , and Yifeng Zeng, "Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging" Springer-Verlag Berlin Heidelberg, pp. 69–83, 2009.
  17. Jyotirmoy Karjee, HS Jamadagni, "Data accuracy model for distributed clustering algorithm based on spatial data correlation in wireless sensor networks", Computer Science and Telecommunications, pp. 13-27, October 2012
  18. Jeffrey Dean and Sanjay Ghemawat, "MapReduce: Simplified data processing on large clusters", Journal of Communications of the ACM, pp. 107-113, Jan 2008.
  19. Yan Li, Li Lao & Jun-Hong Cui, "SDC: A Distributed Clustering Protocol ", International Journal of Computer Networks, (IJCN), Vol. 2:pp. 205-226, 2011
Index Terms

Computer Science
Information Sciences

Keywords

Modulation identification Clustering High speed architecture reconfigurable i/o interfaces

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