Performance Analysis of Wireless Sensor Network Using Cognitive Radio Concept

Authors

  • Rujuta V Pawar EXTC, KJSCE, Mumbai, India
  • Swati S Mahajan EXTC, KJSCE, Mumbai, India

Keywords:

Cognitive Radio Sensor Network, Delay Performance

Abstract

As the demand for wireless increases there is rapid development of various wireless technologies. The users want to use wireless communication services anytime and anywhere. Wireless Sensor Networks (WSNs) are expected to play an important role in future to provide reliable data transmission. But the traditional WSN works in unlicensed band and suffer from uncontrolled interferences from the networks sharing the same spectrum. As it resides in high Bit Error Rate there is increased delay in data transfer which results in less throughput. In this paper the WSN using cognitive concept is studied for reliable data transmission.

References

O. Akan, O. Karli, and O. Ergul, “Cognitive radio sensor networks,” IEEE Network, vol. 23, no. 4, pp. 34-40, July 2009

Simon Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications,” IEEE Journal On Selected Areas In Communications, Vol. 23, No. 2, February 2005

Zhongliang Liang, Shan Feng, Dongmei Zhao, and Xuemin (Sherman) Shen, “Delay Performance Analysis for Supporting Real-Time Traffic in a Cognitive Radio Sensor Network” in IEEE Transactions On Wireless Communications, Vol. 10, No. 1, January 2011

S. Feng and D.Zhao, “Supporting Real-Time CBR Traffic in a Cognitive Radio Sensor Network,” in IEEE Communications Society subject matter experts for publication in the WCNC 2010 proceedings.

R.Nathiya and S.G.Santhi, "Energy Efficient Routing with Mobile Collector in Wireless Sensor Networks (WSNs)", International Journal of Computer Sciences and Engineering, Volume-02, Issue-02, Page No (36-43), Feb -2014

www-sop.inria.fr/members/Eitan.Altman/COURS-NS/n3.pdf‎s

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Published

2014-04-30

How to Cite

[1]
R. V. Pawar and S. S. Mahajan, “Performance Analysis of Wireless Sensor Network Using Cognitive Radio Concept”, Int. J. Comp. Sci. Eng., vol. 2, no. 4, pp. 136–137, Apr. 2014.

Issue

Section

Review Article