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Reseach Article

Article:Modeling Radio Channels for CSMA-MAC based Wireless Sensor Networks

by Mrutyunjaya Panda, Manas Ranjan Patra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Number 6
Year of Publication: 2010
Authors: Mrutyunjaya Panda, Manas Ranjan Patra
10.5120/1392-1876

Mrutyunjaya Panda, Manas Ranjan Patra . Article:Modeling Radio Channels for CSMA-MAC based Wireless Sensor Networks. International Journal of Computer Applications. 9, 6 ( November 2010), 6-11. DOI=10.5120/1392-1876

@article{ 10.5120/1392-1876,
author = { Mrutyunjaya Panda, Manas Ranjan Patra },
title = { Article:Modeling Radio Channels for CSMA-MAC based Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 9 },
number = { 6 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume9/number6/1392-1876/ },
doi = { 10.5120/1392-1876 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:57:54.140640+05:30
%A Mrutyunjaya Panda
%A Manas Ranjan Patra
%T Article:Modeling Radio Channels for CSMA-MAC based Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 9
%N 6
%P 6-11
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Network (WSN) has been identified as one of the most important emerging technologies for the 21st century to monitor environments, and have a lot of applications include warfare, smart homes and rescue. This paper presents an insight to the wireless sensor networks using CSMA-based media access control protocol (MAC) with various performance measures to evaluate the efficacy of the model. We use MATLAB based PROWLER to design our simulated WSN model with Normal Radio Model, Radio Model with SINR, and Radio Model using Rayleigh Fading for Spanning tree and geographical angle based routing. The simulation results show that the simulator under valuation can effectively approximate the behavior of WSN in terms of a number of packet sent and received and detected collisions.

References
  1. Michael Brownfield, Wireless sensor network denial of sleep attack. In: proc. Of the 2005 IEEE workshop on information assurance and security, United states military academy, West point, NY.
  2. F. Zhao, and L. J. Guibas. Wireless Sensor networks: An Information processing approach. Morgan Kaufmann publisher, 2002.
  3. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. Wireless Sensor Netwroks: A Survey. IEEE Transactions on Systems, man and Cybernatics, Part-B, Vol. 38, No. 4, pp. 393-422, 2002.
  4. W. Ye, J. Heidemann and D. Estrin. An energy efficient MAC protocol for wireless sensor network. USC/ISI Technical report, ISI-TR-543, September, 2001.
  5. R. Kannan, R. Kalidini and S. S. Iyengar. Energy and rate based MAC protocol for wireless sensor networks. SIGMOD record, Vol. 32, No. 4, December 2003.
  6. A. Sahoo and P. Baronia. An energy efficient MAC in wireless sensor networks to provide delay guarantee. 15th IEEE workshop on Local and Metropolitan Area Networks, LANMAN 2007.
  7. J. Zhao and R. Govindan. Understanding packet delivery performance in dense wireless sensor networks. In: Proc. of ACM SnSys 2003, Los Angeles, California (USA), November 2003.
  8. N. Reijers, G. P. Halkes and K. G. Langendoen. Link layer in sensor networks. In: proc. of IEEE Intl. conference on Mobile Adhoc and Sensor systems 2004, Florida (USA), October 2004.
  9. A. Kesselman and D. Kowalski. Fast distributed algorithm for convergecast in adhoc geometric radio networks. In: Proc. of the 2nd Annual conference on wireless on demand network systems and services, 2005.
  10. G. Halkes and K. Langendoen. Practical considerations for wireless sensor network algorithms. Wireless sensor networks, Vol. 2, 2010, pp. 441-446.
  11. J. K. Park, W. C. Shin and J. Ha. Energy aware pure ALOHA for wireless sensor networks. IEIC Transaction Fundamentals, Vol. E89-A, No. 6, June 2006.
  12. G. Simon, Prowler: Probabilistic wireless network simulator . Institute for software integrated systems (ISIS). http://www.isis.vanderbilt.edu/projects/nest/prowler.
  13. S. A. Attarde, L. L. Ragha and S. K. Dhamal. An enhanced spanning tree topology for wireless sensor networks. International Journal of computer applications, Vol. 1, No. 19, 2010, pp. 46-51.
  14. Y. Zhang and M. Fromherz. A robust and efficient flooding based routing for wireless sensor networks. Journal of interconnection networks. Vol. 7, No. 4, 2006, pp. 549-568.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor networks radio channel routing