access icon free Energy-aware secondary user selection in cognitive sensor networks

© The Institution of Engineering and Technology
Received 30/04/2013, Accepted 16/10/2013, Revised 13/09/2013, Published 16/01/2014

In cognitive radio, accurate spectrum sensing is essential to optimally use the available spectrum opportunities. On the other hand, energy is a scarce resource especially in cognitive sensor networks. In this study, the authors combine both these conflicting requirements and propose an energy-aware secondary user selection algorithm for cognitive sensor networks. First, an optimisation problem is solved to obtain the minimum required number of cognitive users, whereas satisfying the system requirements. Second, the most eligible cognitive users are identified through a probability-based approach. They study two extreme cases by focusing on either energy or accuracy parameters. By numerical analysis, it is shown that the accuracy benchmark is increased by as much as 39% by only considering the sensing accuracy, and the energy benchmark is reduced by as low as 76% by only considering the remaining level of energy. In addition, they conduct computer simulation and compare the network's lifetime at several sensing accuracy thresholds. It is elaborated that greater sensing accuracy thresholds lead to longer network lifetime. Finally, the effects of several fusion rules on the proposed method are studied through simulation and numerical analyses. It is discussed that the Majority rule has the best performance among the examined rules.

Inspec keywords: probability; optimisation; cognitive radio; wireless sensor networks; signal detection

Other keywords: ensing accuracy thresholds; cognitive radio; energy benchmark; network lifetime; optimisation problem; probability based approach; fusion rules; cognitive sensor networks; energy-aware secondary user selection; spectrum sensing

Subjects: Wireless sensor networks; Other topics in statistics; Optimisation techniques; Signal detection

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
      • 2. FCC: ‘Spectrum policy task force’, ET Docket No. 02- 135, November 2002.
    24. 24)
      • 24. Lopez-Benitez, M., Casadevall, F.: ‘Improved energy detection spectrum sensing for cognitive radio’, IET Commun., 2012, 6, (8), pp. 785–796 (doi: 10.1049/iet-com.2010.0571).
    25. 25)
      • 8. Chen, H., Tse, C.K., Zhao, F.: ‘Optimal quantisation bit budget for a spectrum sensing scheme in bandwidth-constrained cognitive sensor networks’, IET Wirel. Sensor Syst., 2011, 1, (3), pp. 144–150 (doi: 10.1049/iet-wss.2011.0055).
    26. 26)
      • 23. Shen, J., Liu, S., Wang, Y., Xie, G., Rashvand, H., Liu, Y.: ‘Robust energy detection in cognitive radio’, IET Commun., 2009, 3, pp. 1016–1023 (doi: 10.1049/iet-com.2008.0107).
    27. 27)
      • 11. Jin, L., Hu, Z.: ‘Spectrum sensing using higher-order statistics and receive diversity and cooperative detection in SIMO cognitive radio system’. Proc. IET CCWMC, 2011, pp. 247–253.
    28. 28)
      • 12. Hasan, N.U., Ejaz, W., Lee, S., Kim, H.S.: ‘Knapsack-based energy-efficient node selection scheme for cooperative spectrum sensing in cognitive radio sensor networks’, IET Commun., 2012, 6, (17), pp. 2998–3005 (doi: 10.1049/iet-com.2011.0601).
    29. 29)
      • 21. Peh, E.C.Y., Liang, Y., Guan, Y.L., Zeng, Y.: ‘Optimization of cooperative sensing in cognitive radio networks: a sensing-throughput tradeoff view’, IEEE Trans. Veh. Technol., 2009, 58, (9), pp. 5294–5299 (doi: 10.1109/TVT.2009.2028030).
    30. 30)
      • 1. Tragos, E.Z., Zeadally, S., Fragkiadakis, A., Siris, V.: ‘Spectrum assignment in cognitive radio networks: a comprehensive survey’, IEEE Commun. Surv. Tutor., 2013, 15, (3), pp. 1108–1135 (doi: 10.1109/SURV.2012.121112.00047).
    31. 31)
      • 10. Zahmati, A.S., Fernando, X., Grami, A.: ‘Application-specific spectrum sensing method for cognitive sensor networks’, IET Wirel. Sensor Syst., 2013, 3, (3), pp. 193–204 (doi: 10.1049/iet-wss.2013.0006).
    32. 32)
      • 25. Ghasemi, A., Sousa, E.: ‘Collaborative spectrum sensing for opportunistic access in fading environments’. Proc. IEEE DySPAN, 2005, pp. 131–136.
    33. 33)
      • 3. Mitola, J.III, Maguire, G.Q.: ‘Cognitive radio: making software radios more personal’, IEEE Personal Commun., 1999, 6, (4), pp. 13–18 (doi: 10.1109/98.788210).
    34. 34)
      • 17. Lee, W.Y., Akyildiz, I.F.: ‘Optimal spectrum sensing framework for cognitive radio networks’, IEEE Trans. Wirel. Commun., 2008, 7, (10), pp. 3845–3857 (doi: 10.1109/T-WC.2008.070391).
    35. 35)
      • 16. Rao, Y., Chen, W., Cao, Z.: ‘A sequential sensing data transmission and fusion approach for large scale cognitive radios’. Proc. IEEE ICCE, 2010, pp. 1–5.
    36. 36)
      • 27. Tang, H.: ‘Some physical layer issues of wide-band cognitive radio systems’. Proc. IEEE DySPAN, 2005, pp. 151–159.
    37. 37)
      • 28. Zhang, W., Mallik, R., Letaief, K.: ‘Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks’, IEEE Trans. Wirel. Commun., 2009, 8, (12), pp. 5761–5766 (doi: 10.1109/TWC.2009.12.081710).
    38. 38)
      • 20. Jeong, S.S., Jeon, W.S., Jeong, D.G.: ‘Collaborative spectrum sensing for multiuser cognitive radio systems’, IEEE Trans. Veh. Technol., 2009, 58, (5), pp. 2564–2569 (doi: 10.1109/TVT.2008.2009218).
    39. 39)
      • 4. Zhang, Y., Zhang, Q., Wu, S.: ‘Entropy-based robust spectrum sensing in cognitive radio’, IET Commun., 2010, 4, pp. 428–436 (doi: 10.1049/iet-com.2009.0389).
    40. 40)
      • 19. Jamshidi, A.: ‘Performance analysis of low average reporting bits cognitive radio schemes in bandwidth constraint control channels’, IET Commun., 2009, 3, (9), pp. 1544–1556 (doi: 10.1049/iet-com.2008.0507).
    41. 41)
      • 13. Han, J.A., Jeon, W.S., Jeong, D.G.: ‘Energy-efficient channel management scheme for cognitive radio sensor networks’, IEEE Trans. Veh. Technol., 2011, 60, (4), pp. 1905–1910 (doi: 10.1109/TVT.2011.2128355).
    42. 42)
      • 9. Srinu, S., Sabat, S.L.: ‘Cooperative wideband spectrum sensing in suspicious cognitive radio network’, IET Wirel. Sensor Syst., 2013, 3, (2), pp. 153–161 (doi: 10.1049/iet-wss.2012.0044).
    43. 43)
      • 26. Digham, F., Alouini, M.S., Simon, M.: ‘On the energy detection of unknown signals over fading channels’. Proc. IEEE ICC, 2003, pp. 3575–3579.
    44. 44)
      • 22. Song, J., Feng, Z., Zhang, P., Liu, Z.: ‘Spectrum sensing in cognitive radios based on enhanced energy detector’, IET Commun., 2012, 6, (8), pp. 805–809 (doi: 10.1049/iet-com.2010.0536).
    45. 45)
      • 18. Hussain, S., Fernando, X.: ‘Approach for cluster-based spectrum sensing over band-limited reporting channels’, IET Commun., 2012, 6, (11), pp. 1466–1474 (doi: 10.1049/iet-com.2010.0510).
    46. 46)
      • 7. Chien, W.B., Yang, C.K., Huang, Y.H.: ‘Energy-saving cooperative spectrum sensing processor for cognitive radio system’, IEEE Trans. Circuits Syst. I, Regul. Pap., 2011, 58, (4), pp. 711–723 (doi: 10.1109/TCSI.2010.2078691).
    47. 47)
      • 14. Deng, R., Chen, J., Yuen, C., Cheng, P., Sun, Y.: ‘Energy-efficient cooperative spectrum sensing by optimal scheduling in sensor-aided cognitive radio networks’, IEEE Trans. Veh. Technol., 2012, 61, (2), pp. 716–725 (doi: 10.1109/TVT.2011.2179323).
    48. 48)
      • 29. Temme, N.M.: ‘Uniform asymptotic expansions of the incomplete gamma functions and the incomplete beta function’, Math. Comput., 1975, 29, (132), pp. 1109–1114 (doi: 10.1090/S0025-5718-1975-0387674-2).
    49. 49)
      • 15. Zhi, Q., Cui, S., Sayed, A.H., Poor, H.V.: ‘Optimal multiband joint detection for spectrum sensing in cognitive radio networks’, IEEE Trans. Signal Process., 2009, 57, (3), pp. 1128–1140 (doi: 10.1109/TSP.2008.2008540).
    50. 50)
      • 5. Jondral, F.K.: ‘Software-defined radio – basic and evolution to cognitive radio’, EURASIP Wirel. Commun. Netw., 2005, 2005, (3), pp. 275–283.
    51. 51)
      • 6. Ghasemi, A., Sousa, E.S.: ‘Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs’, IEEE Commun. Mag., 2008, 46, (4), pp. 32–39 (doi: 10.1109/MCOM.2008.4481338).
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