Abstract
The Cognitive Radio network is one of the challenging field, where researchers are working to utilize the underutilized spectrum bands for the needful and emergency purposes. This paper proposes one such possible solution to design Cognitive Radio network with Universal Software Radio Peripheral (USRP) based Software Defined Radio (SDR). It explores the efficient implementation of Software Defined Radio (SDR) to sense and detect white spaces in the spectrum for the use of emergency communication during disaster using Discrete Wavelet Packet Transform (DWPT). The SDR testbed setup was simulated using MATLAB and observed its performance parameters and it performs better in terms of detected Power level, SNR and detection accuracy. The simulation results prove that this new devised approach has zero interference to the primary user frequency bands and hence not affecting the existing users. Hence, this paper concludes the Proof- of-Concept proposed with improved Quality of Service (QoS).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
IEEE Standard Definitions and Concepts for Dynamic Spectrum Access: Terminology Relating to Emerging Wireless Networks, System Functionality, and Spectrum Management, IEEE Std. 1900.1-2008, September 2008
Mitola III, J.: Cognitive radio: an integrated agent architecture for software defined radio. Ph.D. dissertation, Royal Institute of Technology, Stockholm, Sweden, May 2000
Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005)
Haykin, S.: Cognitive Radio. IEEE J. Sel. Areas Commn. 23, 201–220 (2005)
Vo, Q.D., Choi, J.-P., Chang, H.M., Lee, W.C.: Green perspective cognitive radio-based M2 M communications for smart meters. In: Proceedings of International Conference on Information and Communication Technology Convergence (ICTC), pp. 382–383, November 2010
Ko, C.-H., Huang, D.H., Wu, S.-H.: Cooperative spectrum sensing in TV white spaces: when cognitive radio meets cloud. In: Proceedings of IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 672–677, April 2011
Ge, F., et al.: Cognitive radio rides on the cloud. In: Proceedings of IEEE Military Communications Conference MILCOM, October– November 2010, pp. 1448–1453 (2010)
Abdulsattar, M.A., Hussein, Z.A.: Energy detection technique for spectrum sensing in cognitive radio: a survey. IJCNC 4, 223 (2012)
Rawat, D.B., Yan, G.: Spectrum sensing methods and dynamic spectrum sharing in cognitive radio networks: a survey. IJRRWSN 1(1), 1–3 (2011)
Jiang, Z.-L., Zhang, Q.-Y., Wang, Y., Shang, X.-Q.: Wavelet packet entropy based spectrum sensing in cognitive radio. In: IEEE 3rd ICCSN, Italy, pp. 121–125 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Ramasamy, M., M., R.S. (2019). Design and Implementation of Cognitive Radio Sensor Network for Emergency Communication Using Discrete Wavelet Packet Transform Technique. In: Fahrnberger, G., Gopinathan, S., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2019. Lecture Notes in Computer Science(), vol 11319. Springer, Cham. https://doi.org/10.1007/978-3-030-05366-6_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-05366-6_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05365-9
Online ISBN: 978-3-030-05366-6
eBook Packages: Computer ScienceComputer Science (R0)