A Comprehensive Study on Cognitive Radio Based Internet of Things

Authors

  • H. Afzal Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan
  • W. Aslam Department of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
  • M.R. Mufti Department of Computer Science, COMSATS University, Vehari Campus, Vehari, Pakistan

Abstract

The extension of Internet to the physical world realizes the Internet of Things (IoT). It increasingly connects heterogeneous devices wirelessly for remotely accessing and controlling them. IoT devices mostly use unlicensed wireless spectrum bands. Soon these bands will become congested creating collisions among users and thus resulting in spectrum scarcity problem. In order to support massive deployment of IoT systems, the radio spectrum must be used efficiently. Cognitive Radio (CR) is an emergent technology that overcomes this problem by efficient utilization of spectrum, ensuring reliability. CR is based on opportunistic use of licensed radio spectrum whenever it is sensed free. Thus CR based IoT is a promising research area, though posing challenges that must be tackled before its acceptance as a technology. In this paper, first IoT and CR are elaborated individually and then CR based IoT systems are discussed.

References

S.S. Salwe and K.K. Naik, “Heterogeneous Wireless Network for IoT Applications”, IETE Technical Review, vol. 36, no. 1, pp. 61-68, 2019.

L. Csurgai-Horváth, I. Rieger and, J. Kertész, “A survey of the DVB-T spectrum: Opportunities for cognitive mobile users”, Mobile Information Systems, 2016.

S. Jayavalan, H. Mohamad, N.M. Aripin, A., Ismail, N. Ramli, A. Yaacob and M.A. Ng, “Measurements and analysis of spectrum occupancy in the cellular and TV bands”, Lecture Notes on Software Engineering, vol. 2, no. 2, p. 133, 2014.

B. Fatima and M.A. Shah, “Self organization based energy management techniques in mobile complex networks: a review”, Complex Adaptive Systems Modeling, vol. 3, no. 1, p. 2, 2015.

Y. Gao, Z. Qin, Z. Feng, Q. Zhang, O. Holland and M. Dohler, “Scalable and reliable IoT enabled by dynamic spectrum management for M2M in LTE-A”, IEEE Internet of Things Journal, vol. 3, no. 6, pp. 1135-1145, 2016.

A.A. Khan, M.H. Rehmani and A. Rachedi, “Cognitive-radio-based Internet of Things: Applications, architectures, spectrum related functionalities and future research directions”, IEEE Wireless Communications, vol. 24, no. 3, pp. 17-25, 2017.

P. Rawat, K.D. Singh and J.M. Bonnin, “Cognitive radio for M2M and Internet of Things: A survey”, Computer Communications, vol. 94, pp. 1-29, 2016.

J. Mitola and G.Q. Maguire, “Cognitive radio: making software radios more personal”, IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, 1999.

M.R. Palattella, M. Dohler, A. Grieco, G. Rizzo, J. Torsner, T. Engel and L. Ladid, “Internet of things in the 5G era: Enablers, architecture, and business models”, IEEE Journal on Selected Areas in Communications, vol. 34, no. 3, pp. 510-527, 2016.

W. Ejaz, G.A. Shah, N.U. Hasan and H.S. Kim, “Energy and throughput efficient cooperative spectrum sensing in cognitive radio sensor networks”, Transactions on Emerging Telecommunications Technologies, vol. 26, no. 7, pp. 1019-1030, 2015.

K.E. Nolan, W. Guibene and M.Y. Kelly, “An evaluation of low power wide area network technologies for the Internet of Things”, IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 439-444, 2016.

K. Mochizuki, K. Obata, K. Mizutani and H. Harada, “Development and field experiment of wide area Wi-SUN system based on IEEE 802.15. 4g”, IEEE 3rd World Forum on Internet of Things (WF-IoT), pp. 76-81, 2016.

J. Dorrier, “Is Cisco’s forecast of 50 billion internet-connected things by 2020 too conservative?”, Online available: https://singularity hub.com/2013/07/30/is-ciscos-forecast-of-50-illion-internet-connected -things-by-2020-too-conservative/#sm.00007odqq3kivf25t582 bnxnotwtj.

D. Evans, “The Internet of Things: How the next evolution of the internet is changing everything”, CISCO White Paper 1, pp. 1-11, 2011.

M2M device connections and revenue: worldwide trends and forecasts 2015–2025, online available from: http://www.analysysmason.com/ Research/Content/Reports/cellular-M2M-connections-Feb2016-RDME0/, 2016.

Y. Shi, W. Wei, Z. He and H. Fan, “An ultra-lightweight white-box encryption scheme for securing resource-constrained IoT devices”, Proc. of the 32nd Annual Conference on Computer Security Applications, pp. 16-29, December, 2016.

H.Y. Lin and W.G. Tzeng, “A secure decentralized erasure code for distributed networked storage”, IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 11, pp.1586-1594, 2010.

B. Gong, P. Cheng, Z. Chen, N. Liu, L. Gui and F. de Hoog, “Spatiotemporal compressive network coding for energy-efficient distributed data storage in wireless sensor networks”, IEEE Commun. Lett., vol. 19, no. 5, pp. 803-806, 2015.

J. Mitola, “Cognitive radio for flexible mobile multimedia communications”, Mobile Networks and Applications, vol. 6, no. 5, pp. 435-441, 2001.

S. Haykin, “Cognitive radio: brain-empowered wireless communi-cations”, IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, 2005.

J. Mitola, “The software radio architecture”, IEEE Commun. Mag., vol. 33, no. 5, pp. 26-38. 1995.

O. León, J. Hernández-Serrano and M. Soriano, “Securing cognitive radio networks”, Int. J. Commun. Syst., vol. 23, no.5, pp. 633-652, 2010.

H. Afzal, M.R. Mufti, I. Awan and M. Yousaf, “Performance analysis of radio spectrum for cognitive radio wireless networks using discrete time Markov chain”, J. Syst. Software, vol. 151, pp. 1-7, 2019.

T. Li, J. Yuan and M. Torlak, “Network throughput optimization for random access Narrowband Cognitive Radio Internet of Things (NB-CR-IoT)”, IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1436-1448, 2018.

I.F. Akyildiz, W.Y. Lee and K.R. Chowdhury, “CRAHNs: Cognitive radio ad hoc networks”, Ad Hoc Netw., vol. 7, no. 5, pp. 810-836, 2009.

A.A. Khan, M.H. Rehmani and A. Rachedi, “When cognitive radio meets the Internet of Things?”, IEEE International Wireless Communications and Mobile Computing Conference, pp. 469-474, September, 2016.

J. Wen, Q. Yang and S.J. Yoo, “Optimization of cognitive radio secondary information gathering station positioning and operating channel selection for IoT sensor networks”, Mobile Information Systems, doi.org/10.1155/2018/4721956, 2018.

IEEE 802.22 Working Group on Wireless Regional Area Networks, online available: http://www.ieee802.org/22/.

M.A. Shah, S. Zhang and C. Maple, “Cognitive radio networks for Internet of Things: Applications, challenges and future”, 19th IEEE International Conference on Automation and Computing, pp. 1-6, September, 2013.

R. Cavallari, F. Martelli, R. Rosini, C. Buratti and R. Verdone, “A survey on wireless body area networks: Technologies and design challenges”, IEEE Commun. Surv. Tut., vol. 16, no. 3, pp. 1635-1657, 2014.

S. Kawade and M. Nekovee, “Can cognitive radio access to TV white spaces support future home networks?”, IEEE Symp. on New Frontiers in Dynamic Spectrum, pp. 1-8, April, 2010.

E.Z. Tragos and V. Angelakis, “Cognitive radio inspired M2M communications”, 16th IEEE Int. Symp. on Wireless Personal Multimedia Communications, pp. 1-5, June, 2013.

IEEE Standards Association, “802.11 p-2010-IEEE standard for information technology-local and metropolitan area networks-specific requirements-part 11: Wireless lan medium access control (mac) and physical layer (phy) specifications amendment 6: Wireless access in vehicular environments”, URL http://standards.ieee.org/findstds/ standard/802.11p-2010.html, 2010.

M. Di Felice, R. Doost-Mohammady, K.R. Chowdhury and L. Bononi, “Smart radios for smart vehicles: Cognitive vehicular networks”, IEEE Veh. Tech. Mag., vol. 7, no. 2, pp. 26-33, 2012.

Y. Yan, Y. Qian, H. Sharif and D. Tipper, “A survey on smart grid communication infrastructures: Motivations, requirements and challenges”, IEEE Commun. Surv. Tut., vol. 15, vol. 1, pp. 5-20, 2012.

D. Niyato, X. Lu and P. Wang, “Adaptive power management for wireless base stations in a smart grid environment”, IEEE Wirel. Commun., vol. 19, no. 6, pp.44-51, 2012.

L. Yushi, J. Fei and Y. Hui, “Study on application modes of military Internet of Things (MIOT)”, IEEE Int. Conf. on Computer Science and Automation Engineering (CSAE), vol. 3, pp. 630-634, 2012.

C. Lever, “The Military Internet of Things”, online Available: http://eecatalog.com/military/2014/05/09/the-military-internet-of-things /, 2014.

J. Zhu, Y. Song, D. Jiang and H. Song, “A New Deep-Q-Learning-Based Transmission Scheduling Mechanism for the Cognitive Internet of Things”, IEEE Internet of Things Journal, vol. 5, no. 4, pp. 2375-2385, 2018.

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Published

21-09-2019

How to Cite

[1]
H. Afzal, W. Aslam, and M. Mufti, “A Comprehensive Study on Cognitive Radio Based Internet of Things”, The Nucleus, vol. 56, no. 2, pp. 49–54, Sep. 2019.

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