Browse > Article
http://dx.doi.org/10.5370/KIEE.2016.65.1.122

RF Spectrum Cognition Technologies for IoT Wireless Sensors  

Yoon, Won-Sang (Dept. of Electronic Engineering, Hoseo University)
Han, Sang-Min (Dept. of Information and Communication Engineering, Soonchunhyang University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.65, no.1, 2016 , pp. 122-127 More about this Journal
Abstract
In this paper, new spectrum sensing schemes based on analog/RF front-end processing are introduced for IoT wireless sensor networks. While the conventional approaches for wireless channel cognition have been issued in signal processing area, the RF spectrum cognition concept makes it feasible to achieve cognitive wireless sensor networks (C-WSNs). The spectrum cognition at RF processing is categorized as four kinds of sensing mechanisms. Two recent reseaches are described as promising candidates for the C-WSN. One senses spectrum by the frequency discriminating receiver, the other senses and detects from the frequency selective super-regenerative receiver. The introduced systems with simple and low-power RF architectures play dual roles of channel sensing and demodulation. simultaneously. Therefore, introduced spectrum sensing receivers can be one of the best candidates for IoT wireless sensor devices in C-WSN environments.
Keywords
Cognitive radio; C-WSN (Cognitive wireless sensor network); IoT (Internet of things); Spectrum sensing; Wireless connectivity;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 E. H. Armstrong, "Some recent developments of regenerative circuits," Proc. IRE, vol. 10, pp. 244-260, Aug. 1922.
2 W.-S. Yoon, H.-S. Lee, H.-J. Lee, J. Lim, Y.-S. Kim, and S.-M. Han, "A frequency tunable super-regenerative oscillator for channel selective receivers," in Proc. IEEE Radio Wireless Symp. 2011 (RWS '11), Phoenix, AZ, USA, pp.227-230, Jan. 2011.
3 IEEE Standard 802.15.4, "PART 15.4: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (LR-WPANs)," IEEE Press, Dec. 2005.
4 S.-M. Han, O. Popov, and A. Dmitriev, "Flexible chaotic UWB communication system with adjustable channel bandwidth in CMOS technology," IEEE Trans. Microw. Theory Tech., vol. 56, no. 10, pp. 2229-2236, Oct. 2008.   DOI
5 IEEE 802.22 WG on Wireless Regional Area Networks, "Functional Requirements for the 802.22 WRAN Standard," http://www.ieee802.org/22/.
6 J.-S. Lee, J.-M. Kim, J.-S. Lee, S.-K. Han, S.-G. Lee, "A 227 pJ/b -83 dBm 2.4 GHz multi-channel OOK receiver adopting receiver-based FLL," Int. Solid-State Circuit Conf. 2015 Digest Technical Paper, pp. 234-235, Feb. 2015.
7 M. Vidojkovic, et al., "A 2.4GHz ULP OOK single-chip transceiver for healthcare applications," Int. Solid-State Circuit Conf. digest technical paper, pp. 458-459, Feb. 2011.
8 J. Ayers, K. Mayaram, and T. S. Fiez, "An ultralow-power receiver for wireless sensor networks," IEEE J. Solid-State Circuits, vol. 45, no. 9, pp. 1759-1769, Sep. 2010.   DOI
9 S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220, Feb 2005   DOI
10 B. Razavi, "Cognitive radio design challenges and techniques," IEEE J. Solid-State Circuits, vol. 45, no. 8, pp. 1542-1553, Aug. 2010.   DOI
11 V. Pohl, F. Y. Suratman, A. M. Zoubir, and H. Boche, "Spectrum sensing for cognitive radio architectures based on sub-Nyquest sampling schemes," Int. ITG Workshop on Smart Antennas (WSA), Germany, Feb. 2011.
12 T. Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Commun. Surveys & Tutorials, vol. 11, no. 1, pp. 116-130, 1st Quarter 2009.   DOI
13 K. Seshukumar, R. Saravanan, and M. S. Suraj, "Spectrum sensing review in cognitive radio," Int. Conf. Emerging Trends in VLSI, Embedded Syst., Nano Electronics and Telecommun. Syst. (ICEVENT), January 2013.
14 K.-J. Lee, H. Lee, Y.-S. Kim, J. Lim, and S.-M. Han, "Erratum: Multi-functional channel selective RF receiver system for low-power sensor network applications," Microw. Optical Tech. Lett., vol. 54, no. 7, pp.1775, July 2012.
15 G. Chaudhary, Y. Jeong, and J. Lim, "Harmonic suppressed dual-band bandpass filter with independently tunable center frequencies and bandwidths ," J. Electromagnetic Eng. Sci., vol. 13, no. 2, pp.93-103, June, 2013.   DOI
16 J. Park, T. Song, J. Hur, S. M. Lee, J. Choi, K. Kim, K. Lim, C.-H. Lee, H. Kim, and J. Laskar, "A fully integrated UHF-band CMOS receiver with multi-resolution spectrum sensing (MRSS) functionality for IEEE 802.22 cognitive radio applications," IEEE J. Solid-State Circuits, vol. 44, no. 1, pp. 258-268, Jan. 2009.   DOI
17 K.-J. Lee, H. Lee, Y.-S. Kim, J. Lim, and S.-M. Han, "Multi-functional channel selective RF receiver system for low-power sensor network applications," Microw. Optical Tech. Lett., vol. 54, no. 4, pp. 847-851, April 2012.   DOI
18 A. B. Carlson, Communication Systems: An Introduction to Signals and Noise in Electrical Communication, 3rd edition, McGraw-Hill, Singapore, pp.259-263, 1986.
19 S.-M. Han, Y. Lee, T. Choi, S.-J. Lee, J.-W. Baik, J. Lim, and D. Ahn, "Compact wake-up module design based on an energy-harvesting rectenna for wireless sensor receivers," Int. J. Antennas Propag., vol. 2015, Article ID 976875, 2015.
20 W.-S. Yoon, S.-J. Lee, and S.-M. Han, "Channel cognitive wireless sensor system based on spectrum sensing technology," IEEE Trans. Antennas Propag., vol. 62, no. 3, pp. 1157-1164, March 2014.   DOI
21 F. X. Moncunill-Geniz, P. Pala-Schonwalder, and F. Aguila-Lopez, "New superregenerative architectures for direct-sequence spread-spectrum communications," IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 52, no. 7, pp. 415-419, July 2005.   DOI