International Journal of
Computer Sciences and Engineering

Scholarly Peer-Reviewed, and Fully Refereed Scientific Research Journal
Cognitive Radio for Enhancing and Efficient Spectrum Sensing in Adhoc Networks
Cognitive Radio for Enhancing and Efficient Spectrum Sensing in Adhoc Networks
M. Emimal1 , D. Karthika2
1 Department of ECS, ARJ College of Engineering and Technology, Edayarnatham, India.
2 Department of ECS, ARJ College of Engineering and Technology, Edayarnatham, India.
Correspondence should be addressed to: martinemimal@gmail.com .

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-7 , Page no. 9-13, Jul-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i7.913

Online published on Jul 30, 2017

Copyright © M. Emimal, D. Karthika . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 
View this paper at   Google Scholar | DPI Digital Library
  XML View PDF Download  
Citation

IEEE Style Citation: M. Emimal, D. Karthika, “Cognitive Radio for Enhancing and Efficient Spectrum Sensing in Adhoc Networks”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.9-13, 2017.

MLA Style Citation: M. Emimal, D. Karthika "Cognitive Radio for Enhancing and Efficient Spectrum Sensing in Adhoc Networks." International Journal of Computer Sciences and Engineering 5.7 (2017): 9-13.

APA Style Citation: M. Emimal, D. Karthika, (2017). Cognitive Radio for Enhancing and Efficient Spectrum Sensing in Adhoc Networks. International Journal of Computer Sciences and Engineering, 5(7), 9-13.
Downloads (103)     Full view (122)
           
Abstract :
The Spectrum sensing strategies in CR is exhibited in this paper. There are three Spectrum sensing strategies of CR, for example, helpful, non-agreeable and impedance based discovery. Helpful and non-agreeable procedures are only transmitter location and collector recognition separately. Non helpful spectrum sensing procedures is grouped in three systems like vitality recognition, coordinated channel discovery and cyclo stationary component location. The goal of the project is to achieve performance, increase reliability and efficiency and reduces the interference. In CRN the users are classified into Licensed Primary Users and Unlicensed Secondary Users and there is no dedicated channel to send data, sensors need to negotiate with the neighbors and select a channel for data communication in CR-WSNs. This is a very challenging issue, because there is no cooperation between the PUs and SUs. PUs may arrive on the channel any time. If the PU claims the channel, the SUs have to leave the channel immediately. PU is communicating with another user, that time SU cannot communicate to PU at particular time. Here Medium access Control (MAC) protocol is proposed to improve the spectrum efficiency. Our proposed CR method helps to automatically search the users those who are free to communicate in the network, at that time Unlicensed user is automatically will change as licensed user, then it communicate to particular person.
Key-Words / Index Term :
CR, Wireless Sensor Network, Primary Spectrum, Specturm Sensing
References :
[1] Q.Zhao and B.M.Sadler, “A survey of dynamic spectrum access: Signal processing, networking, and regulatory policy,” IEEE Signal Process. Mag., vol. 24, no. 3, pp. 79–89, May 2007.
[2] S.Haykin, “CR: Brain-empowered wireless communications,” IEEE J. Sel. Commun., vol. 23, no. 2, pp. 201–220, Feb. 2005.
[3] Goldsmith, S.Jafar, I.Maric, and S.Srinivasa, “Breaking spectrum gridlock with CRs: An information theoretic perspective,” Proc. IEEE, vol. 97, no. 5, pp. 894–914, May 2009.
[4] Y.-C.Liang, Y.Zeng, E.Peh, and A.T.Hoang, “Sensing-throughput tradeoff for CR networks,” IEEE Trans. Wireless Commun., vol. 7, no. 4, pp. 1326–1337, Apr. 2008.
[5] K.Viji and R.Mala, "Cross Layer Outline Approach in Remote Versatile ADHOC System Architecture", International Journal of Computer Sciences and Engineering, Vol.3, Issue.9, pp.302-309, 2015.
[6] L.Musavian and S.Aissa, “Fundamental capacity limits of CR in fading environments with imperfect channel information,” IEEE Trans. Commun., vol. 57, no. 11, pp. 3472–3480, Nov. 2009.
[7] J.Jia, Q.Zhang, and X.Shen, “HC-MAC: A hardware-constrained cognitive MAC for efficient spectrum management,” IEEE J. Sel. Areas Commun., vol. 26, no. 1, pp. 106–117, Jan. 2008.
[8] Q.Zhao, L.Tong, A.Swami, and Y.Chen, “Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework,” IEEE J. Sel. Areas Commun., vol. 25, no. 3, pp. 589–600, 2007.
[9] Y.Wang, Y.Xu, L.Shen, C.Xu, and Y.Cheng, “Two-dimensional POMDP-based opportunistic spectrum access in time-varying environment with fading channels,” J. Commun. Netw., vol. 16, no. 2, pp. 217–226, Apr. 2014.
[10] Krikidis I, Charalambous T, Thompson JS. Buffer-aided relay selection for cooperative diversity systems without delay constraints. IEEE Transactions on Wireless Communications, Vol.11, Issue.55, pp.1957-67, 2012.
[11] V.Asghari and S.Aissa, “Adaptive rate and power transmission in spectrum-sharing systems,” IEEE Trans. Wireless Commun., vol. 9, no. 10, pp. 3272–3280, Oct. 2010.
[12] Bagayoko, I.Fijalkow, and P.Tortelier, “Power control of spectrum sharing in fading environment with partial channel state information,” IEEE Trans. Signal Process. vol. 59, no. 5, pp. 2244–2256, May 2011.