Skip to main content
SpringerLink
Log in

Spectrum Resource Management for CRSNs

  • Chapter
  • First Online:
Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks

  • 458 Accesses

Abstract

The coexistence of various overlapping wireless applications causes severe inter-network interference to each other and leads to increasingly poor network performance. It motivates researchers to find new solutions for wireless sensor networking. The emergence of CRSN is a consequent result, which attracts growing attentions from both the academia and industry and experiences rapid development during the recent years. But different from traditional cognitive radio networks (CRNs), the integration of CR and WSN poses some new challenges in CRSNs. One of the most critical challenges is to design energy-efficient spectrum resource management solutions for CRSNs by taking the energy consumption and network characteristics of WSNs into consideration. To accelerate the flourish of CRSN applications, researchers have devoted great efforts on tackling this critical and urgent challenge. In this chapter, we provide a comprehensive review on the state-of-the-art research literature, which covers most of existing works in energy-efficient spectrum resource management in CRSNs, including dynamic spectrum access decision, secure cooperative spectrum sensing and spectrum resource allocation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Z. Liang, S. Feng, D. Zhao, X. Shen, Delay performance analysis for supporting real-time traffic in a cognitive radio sensor network. IEEE Trans. Wirel. Commun. 10(1), 325–335 (2011)

    Article  Google Scholar 

  2. A.O. Bicen, V.C. Gungor, O.B. Akan, Delay-sensitive and multimedia communication in cognitive radio sensor networks. Ad Hoc Netw. 10(5), 816–830 (2012)

    Article  Google Scholar 

  3. S.-C. Lin K.-C. Chen, Improving spectrum efficiency via in-network computations in cognitive radio sensor networks. IEEE Trans. Wirel. Commun. 13(3), 1222–1234 (2014)

    Article  Google Scholar 

  4. P.T.A. Quang, D.-S. Kim, Throughput-aware routing for industrial sensor networks: application to ISA100. 11a. IEEE Trans. Ind. Inf. 10(1), 351–363 (2014)

    Google Scholar 

  5. P. Spachos D. Hantzinakos, Scalable dynamic routing protocol for cognitive radio sensor networks. IEEE Sensors J. 14(7), 2257–2266 (2014)

    Article  Google Scholar 

  6. G.A. Shah, O.B. Akan, Performance analysis of CSMA-based opportunistic medium access protocol in cognitive radio sensor networks. Ad Hoc Netw. 15, 4–13 (2014)

    Article  Google Scholar 

  7. G. Shah, O. Akan, Cognitive adaptive medium access control in cognitive radio sensor networks. IEEE Trans. Veh. Technol. 64(2), 757–767 (2015)

    Article  Google Scholar 

  8. J.A. Han, W.S. Jeon, D.G. Jeong, Energy-efficient channel management scheme for cognitive radio sensor networks. IEEE Trans. Veh. Technol. 60(4), 1905–1910 (2011)

    Article  Google Scholar 

  9. M.C. Oto, O.B. Akan, Energy-efficient packet size optimization for cognitive radio sensor networks. IEEE Trans. Wirel. Commun. 11(4), 1544–1553 (2012)

    Article  Google Scholar 

  10. B. Chai, R. Deng, P. Cheng, J. Chen, Energy-efficient power allocation in cognitive sensor networks: a game theoretic approach, in IEEE Proceedings of GLOBECOM (2012), pp. 416–421

    Google Scholar 

  11. G. Ding, J. Wang, Q. Wu, F. Song, Y. Chen, Spectrum sensing in opportunity-heterogeneous cognitive sensor networks: how to cooperate? IEEE Sensors J. 13(11), 4247–4255 (2013)

    Article  Google Scholar 

  12. S. Maleki, A. Pandharipande, G. Leus, Energy-efficient distributed spectrum sensing for cognitive sensor networks. IEEE Sensors J. 11(3), 565–573 (2011)

    Article  Google Scholar 

  13. J. Ren, Y. Zhang, Q. Ye, K. Yang, K. Zhang, X.S. Shen, Exploiting secure and energy-efficient collaborative spectrum sensing for cognitive radio sensor networks. IEEE Trans. Wirel. Commun. 15(10), 6813–6827 (2016)

    Article  Google Scholar 

  14. G.A. Shah, F. Alagoz, E.A. Fadel, O.B. Akan, A spectrum-aware clustering for efficient multimedia routing in cognitive radio sensor networks. IEEE Trans. Veh. Technol. 63(7), 3369–3380 (2014)

    Article  Google Scholar 

  15. M. Ozger O. Akan, Event-driven spectrum-aware clustering in cognitive radio sensor networks, in IEEE Proceedings of INFOCOM (2013), pp. 1483–1491

    Google Scholar 

  16. R. Sharma D. Rawat, Advances on security threats and countermeasures for cognitive radio networks: a survey. IEEE Commun. Surv. Tutorials 17(2), 1023–1043 (2015)

    Article  Google Scholar 

  17. Y. Cai, Y. Mo, K. Ota, C. Luo, M. Dong, L. Yang, Optimal data fusion of collaborative spectrum sensing under attack in cognitive radio networks. IEEE Netw. 28(1), 17–23 (2014)

    Article  Google Scholar 

  18. Z. Gao, H. Zhu, S. Li, S. Du, X. Li, Security and privacy of collaborative spectrum sensing in cognitive radio networks. IEEE Wirel. Commun. 19(6), 106–112 (2012)

    Article  Google Scholar 

  19. T. Qin, H. Yu, C. Leung, Z. Shen, C. Miao, Towards a trust aware cognitive radio architecture. ACM SIGMOBILE Mob. Comput. Commun. Rev. 13(2), 86–95 (2009)

    Article  Google Scholar 

  20. K. Zeng, P. Pawełczak, D. Čabrić, Reputation-based cooperative spectrum sensing with trusted nodes assistance. IEEE Commun. Lett. 14(3), 226–228 (2010)

    Article  Google Scholar 

  21. A.S. Rawat, P. Anand, H. Chen, P.K. Varshney, Collaborative spectrum sensing in the presence of Byzantine attacks in cognitive radio networks, IEEE Trans. Signal Process. 59(2), 774–786 (2011)

    Article  MathSciNet  Google Scholar 

  22. R. Chen, J.-M. Park, K. Bian, Robust distributed spectrum sensing in cognitive radio networks, in Proceedings of IEEE INFOCOM (2008)

    Google Scholar 

  23. X. He, H. Dai, P. Ning, HMM-based malicious user detection for robust collaborative spectrum sensing. IEEE J. Sel. Areas Commun. 31(11), 2196–2208 (2013)

    Article  Google Scholar 

  24. J. Wang, J. Yao, Q. Wu, Stealthy-attacker detection with a multidimensional feature vector for collaborative spectrum sensing. IEEE Trans. Veh. Technol. 62(8), 3996–4009 (2013)

    Article  Google Scholar 

  25. X. He, H. Dai, P. Ning, A Byzantine attack defender in cognitive radio networks: the conditional frequency check. IEEE Trans. Wirel. Commun. 12(5), 2512–2523 (2013)

    Article  Google Scholar 

  26. F. Penna, Y. Sun, L. Dolecek, D. Cabric, Detecting and counteracting statistical attacks in cooperative spectrum sensing. IEEE Trans. Signal Process. 60(4), 1806–1822 (2012)

    Article  MathSciNet  Google Scholar 

  27. Z. Qin, Q. Li, G.-C. Hsieh, Defending against cooperative attacks in cooperative spectrum sensing. IEEE Trans. Wirel. Commun. 12(6), 2680–2687 (2013)

    Article  Google Scholar 

  28. M. Ghaznavi, A. Jamshidi, A reliable spectrum sensing method in the presence of malicious sensors in distributed cognitive radio network. IEEE Sensors J. 15(3), 1810–1816 (2015)

    Google Scholar 

  29. C. Hyder, B. Grebur, L. Xiao, M. Ellison, ARC: adaptive reputation based clustering against spectrum sensing data falsification attacks. IEEE Trans. Mob. Comput. 13(8), 1707–1719 (2014)

    Article  Google Scholar 

  30. G. Ding, Q. Wu, Y.-D. Yao, J. Wang, Y. Chen, Kernel-based learning for statistical signal processing in cognitive radio networks: theoretical foundations, example applications, and future directions. IEEE Signal Process. Mag. 30(4), 126–136 (2013)

    Article  Google Scholar 

  31. S. Liu, H. Zhu, S. Li, X. Li, C. Chen, X. Guan, An adaptive deviation-tolerant secure scheme for distributed cooperative spectrum sensing, in Proceedings of IEEE GLOBECOM (2012), pp. 603–608

    Google Scholar 

  32. Q. Yan, M. Li, T. Jiang, W. Lou, Y.T. Hou, Vulnerability and protection for distributed consensus-based spectrum sensing in cognitive radio networks, in Proceedings of IEEE INFOCOM (2012), pp. 900–908

    Google Scholar 

  33. H. Tang, F. R. Yu, M. Huang, Z. Li, Distributed consensus-based security mechanisms in cognitive radio mobile ad hoc networks. IET Commun. 6(8), 974–983 (2012)

    Article  MathSciNet  Google Scholar 

  34. S. Liu, Y. Chen, W. Trappe, L.J. Greenstein, ALDO: an anomaly detection framework for dynamic spectrum access networks, in Proceedings of IEEE INFOCOM (2009), pp. 675–683

    Google Scholar 

  35. G. Ding, J. Wang, Q. Wu, L. Zhang, Y. Zou, Y.-D. Yao, Y. Chen, Robust spectrum sensing with crowd sensors. IEEE Trans. Commun. 62(9), 3129–3143 (2014)

    Article  Google Scholar 

  36. S. Sodagari, A. Attar, V. Leung, S.G. Bilén, Denial of service attacks in cognitive radio networks through channel eviction triggering, in Proceedings of IEEE GLOBECOM (2010), pp. 1–5

    Google Scholar 

  37. S. Althunibat, V. Sucasas, H. Marques, J. Rodriguez, R. Tafazolli, F. Granelli, On the trade-off between security and energy efficiency in cooperative spectrum sensing for cognitive radio. IEEE Commun. Lett. 17(8), 1564–1567 (2013)

    Article  Google Scholar 

  38. S.A. Mousavifar, C. Leung, Energy efficient collaborative spectrum sensing based on trust management in cognitive radio networks. IEEE Trans. Wirel. Commun. 14(4), 1927–1939 (2015)

    Article  Google Scholar 

  39. S. Althunibat, R. Palacios, F. Granelli, Energy-efficient spectrum sensing in cognitive radio networks by coordinated reduction of the sensing users, in Proceedings of IEEE ICC (2012), pp. 1399–1404

    Google Scholar 

  40. R.-S. Liu, P. Sinha, C.E. Koksal, Joint energy management and resource allocation in rechargeable sensor networks, in IEEE Proceedings of INFOCOM (2010), pp. 1–9

    Google Scholar 

  41. R. Deng, Y. Zhang, S. He, J. Chen, X. Shen, Maximizing network utility of rechargeable sensor networks with spatiotemporally-coupled constraints. IEEE J. Sel. Areas Commun. (2016, to appear). doi:10.1109/JSAC.2016.2520181

    Google Scholar 

  42. S. Chen, P. Sinha, N.B. Shroff, C. Joo, A simple asymptotically optimal joint energy allocation and routing scheme in rechargeable sensor networks. IEEE/ACM Trans. Netw. 22(4), 1325–1336 (2014)

    Article  Google Scholar 

  43. L. Huang, M.J. Neely, Utility optimal scheduling in energy-harvesting networks. IEEE/ACM Trans. Netw. 21(4), 1117–1130 (2013)

    Article  Google Scholar 

  44. Z. Mao, C.E. Koksal, N.B. Shroff, Near optimal power and rate control of multi-hop sensor networks with energy replenishment: basic limitations with finite energy and data storage. IEEE Trans. Autom. Control 57(4), 815–829 (2012)

    Article  MathSciNet  Google Scholar 

  45. Y. Zhang, S. He, J. Chen, Y. Sun, X. Shen, Distributed sampling rate control for rechargeable sensor nodes with limited battery capacity. IEEE Trans. Wirel. Commun. 12(6), 3096–3106 (2013)

    Article  Google Scholar 

  46. C. Huang, R. Zhang, S. Cui, Optimal power allocation for outage probability minimization in fading channels with energy harvesting constraints. IEEE Trans. Wirel. Commun. 13(2), 1074–1087 (2014)

    Article  Google Scholar 

  47. J. Ren, Y. Zhang, N. Zhang, D. Zhang, X. Shen, Dynamic channel access to improve energy efficiency in cognitive radio sensor networks. IEEE Trans. Wirel. Commun. 15(5), 3143–3156 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Central South University, Changsha, Hunan, China

    Ju Ren

  2. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

    Ning Zhang & Xuemin (Sherman) Shen

Authors
  1. Ju Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ning Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xuemin (Sherman) Shen
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Cite this chapter

Ren, J., Zhang, N., Shen, X. (2018). Spectrum Resource Management for CRSNs. In: Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-60318-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60318-6_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60317-9

  • Online ISBN: 978-3-319-60318-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation