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Mobility-Aware, Correlation-Based Node Grouping and Selection for Cooperative Spectrum Sensing

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Cooperative spectrum sensing has been proposed as a solution to increase the sensing function accuracy in cognitive radio networks, but the research has, so far, mainly focused on static scenarios, all but neglecting the impact of mobility on spectrum sensing. In this work a novel cooperative spectrum sensing scheme for mobile cognitive networks, based on a correlation-based, mobility-aware node selection algorithm is proposed. Correlation among sensing decisions is used to divide nodes into groups, and mobility is taken into account in the group leaders selection by means of a node selection metric that considers both sensing performance and mobility. Performance of the proposed algorithm is evaluated by computer simulations taking into account mobility and a detailed modeling of temporal and spatial correlation of fading and shadowing components in the channel path loss, going way beyond the performance evaluation carried out in previous works on correlation-based cooperative sensing schemes. Simulation results highlight that the proposed metric leads to a signicant increase of the update period required to maintain acceptable sensing performance, and correspondingly to a strong reduction in the overhead caused by the grouping and node selection procedure.
Rocznik
Tom
Strony
90--102
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
autor
  • Chair of Wireless Communications, Poznan University of Technology, Poznan, Poland
autor
  • DIET Department, Sapienza University of Rome, Rome, Italy
autor
  • Chair of Wireless Communications, Poznan University of Technology, Poznan, Poland
  • DIET Department, Sapienza University of Rome, Rome, Italy
Bibliografia
  • [1] FCC, "In the matter of unlicensed operation in the tv broadcast bands. Second memorandum opinion and order", 2010 [Online]. Available: http://fjallfoss.fcc.gov/edocs public/attachmatch/FCC-10-174A1 Rcd.pdf (accessed: 04/12/2013).
  • [2] A. Ghasemi and E. Sousa, "Collaborative spectrum sensing for opportunistic access in fading environments", in Proc. 1st IEEE Int. Symp. New Front. Dynam. Spect. Access Netw. DySPAN 2005, Baltimore, USA, 2005, pp. 131-136.
  • [3] S. Maleki, S. Chepuri, and G. Leus, "Optimal hard fusion strategies for cognitive radio networks", in Proc. IEEE Wirel. Commun.Netw. Conf. WCNC 2011, Cancun, Mexico, 2011, pp. 1926-1931, 2011.
  • [4] J. Unnikrishnan and V. Veeravalli, "Cooperative sensing for primary detection in cognitive radio", IEEE J. Selec. Topics Sig. Proces., vol. 2, pp. 18-27, 2008.
  • [5] W. Zhang, R. Mallik, and K. Ben Letaief, "Cooperative spectrum sensing optimization in cognitive radio networks", in Proc. IEEE Int. Conf. Commun. ICC 2008, Beijing, China, 2008, pp. 3411-3415.
  • [6] D. Horgan and C. Murphy, "Voting rule optimisation for double threshold energy detector-based cognitive radio networks", in Proc. 4th Int. Conf. Sig. Proces. Commun. Sys. ICSPC 2010, Gold Coast, Australia, 2010, pp. 1-8.
  • [7] W. Zhang, R. Mallik, and K. Letaief, "Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks", IEEE Trans. Wirel. Commun., vol. 8, no. 12, pp. 5761-5766, 2009.
  • [8] E. Peh and Y.-C. Liang, "Optimization for cooperative sensing in cognitive radio networks", in Proc. IEEE Wirel. Commun. Netw. Conf. WCNC 2007, Hong Kong, 2007, pp. 27-32.
  • [9] A. W. Min and K. G. Shin, "Impact of mobility on spectrum sensing in cognitive radio networks", in Proc. ACM Worksh. Cognit. Radio Netw., Beijing, China, 2009, pp. 13-18.
  • [10] K. Arshad and K. Moessner, "Mobility driven energy detection based spectrum sensing framework of a cognitive radio", in Proc. 2nd UK-India-IDRC Int. Worksh. Cognit. Wirel. Sys. UKIWCWS 2010, Delhi, India, 2010, pp. 1-5.
  • [11] L. De Nardis et al., "Impact of mobility in cooperative spectrum sensing: Theory vs. simulation", in Proc. Int. Symp. Wirel. Commun. Sys. ISWCS 2012, Paris, France, 2012, pp. 416-420.
  • [12] Y. Sun, H. Hu, F. Liu, H. Yi, and X. Wang, "Selection of sensing nodes in cognitive radio system based on correlation of sensing information", in Proc. 4th Int. Conf. Wirel. Commun. Netw. Mob. Comput. WiCOM 2008, Dalian, China, 2008, pp. 1 -6.
  • [13] S. Mishra, A. Sahai, and R. Brodersen, "Cooperative sensing among cognitive radios", in Proc. IEEE Int. Conf. Commun. ICC 2006, Istanbul, Turkey, 2006, vol. 4, pp. 1658-1663.
  • [14] D. Godarzi, K. Arshad, Y. Ko, and K. Moessner, "Selecting users in energy-e cient collaborative spectrum sensing", in Proc. IEEE Wirel. Commun. Netw. Conf. WCNC 2012, Paris, France, 2012, pp. 1029-1033.
  • [15] Y. Wang, C. Feng, Z. Zeng, and C. Guo, "A robust and energy effcient cooperative spectrum sensing scheme in cognitive radio networks", in Proc. 11th Int. Conf. Adv. Commun. Technol. ICACT 2009, Gangwon-Do, Sth. Korea, 2009, vol. 1, pp. 640-645.
  • [16] A. Baharlouei and B. Jabbari, "A stackelberg game spectrum sensing scheme in cooperative cognitive radio networks", in Proc. IEEE Wirel. Commun. Netw. Conf. WCNC 2012, Paris, France, 2012, pp. 2215-2219.
  • [17] J. Lehtomaki, J. Vartiainen, Z. Khan, and T. Braysy, "Selection of cognitive radios for cooperative sensing", in Proc. 3rd Int. Symp. Appl. Sci. Biomed. Commun. Technol. ISABEL2010, Rome, Italy, 2010, pp. 1-5.
  • [18] C.-H. Lee and W. Wolf, "Energy efficient techniques for cooperative spectrum sensing in cognitive radios", in Proc. 5th IEEE Consumer Commun. Netw. Conf. CCNC 2008, Las Vegas, NV, USA, 2008, pp. 968 -972.
  • [19] Z. Khan, J. Lehtomaki, K. Umebayashi, and J. Vartiainen, "On the selection of the best detection performance sensors for cognitive radio networks", IEEE Sig. Proces. Lett., vol. 17, pp. 359-362, 2010.
  • [20] O. Ureten, K. Baddour, and T. Willink, "Distributed selection of sensing nodes in cognitive radio networks", in Proc. 7th Int. Symp. Wirel. Commun. Sys. ISWCS 2010, York, UK, 2010, pp. 1056-1060.
  • [21] Y. Selen, H. Tullberg, and J. Kronander, "Sensor selection for cooperative spectrum sensing", in Proc. 3rd IEEE Int. Symp. New Front. Dynam. Spect. Access Netw. DySPAN 2008, Chicago, IL, USA, 2008, pp. 1-11.
  • [22] M. Perillo and W. Heinzelman, "Optimal sensor management under energy and reliability constraints", in Proc. IEEE Wirel. Commun. Netw. WCNC 2003, New Orleans, LU, USA, 2003, vol. 3, pp. 1621-1626.
  • [23] M. Najimi, A. Ebrahimzadeh, S. Andargoli, and A. Fallahi, "A novel sensing nodes and decision node selection method for energy efficiency of cooperative spectrum sensing in cognitive sensor networks", IEEE Sensors J., vol. 13, no. 5, pp. 1610-1621, 2013.
  • [24] A. Cacciapuoti, I. Akyildiz, and L. Paura, "Correlation-aware user selection for cooperative spectrum sensing in cognitive radio adhoc networks", IEEE J. Selec. Areas Commun., vol. 30, no. 2, pp. 297-306, 2012.
  • [25] N. Pratas, N. Marchetti, N. Prasad, A. Rodrigues, and R. Prasad, "Adaptive counting rule for cooperative spectrum sensing under correlated environments", Wirel. Personal Commun., vol. 64, no. 1, pp. 93-106, 2012.
  • [26] C. Oestges et al., "Experimental characterization and modeling of outdoor-to-indoor and indoor-to-indoor distributed channels", IEEE Trans. Veh. Technol., vol. 59, no. 5, pp. 2253-2265, 2010.
  • [27] M. Gudmundson, "Correlation model for shadow fading in mobile radio systems", Electron. Lett., vol. 27, no. 23, pp. 2145-2146, 1991.
  • [28] S. R. Saunders, Antennas and propagation for wireless communication systems. Wiley , 1999.
  • [29] B. Kasiri and J. Cai, "Effects of correlated shadowing on soft decision fusion in cooperative spectrum sensing", in Proc. IEEE Conf. Comp. Commun. Worksh. INFOCOM 2010, San Diego, CA, USA, 2010, pp. 1-6.
  • [30] N. Patwari and P. Agrawal, "Effects of correlated shadowing: Connectivity, localization, and rf tomography", in Proc. Int. Conf. Inform. Proces. Sensor Netw. IPSN 2008, St. Louis, MI, USA, 2008, pp. 82-93.
  • [31] Ofcom, "Digital dividend: cognitive access. statement on licenseexempting cognitive devices using interleaved spectrum", 2009 [Online]. Available: http://stakeholders.ofcom.org.uk/binaries/consultations/cognitive/statement/statement.pdf (accessed: 04/12/2013).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fd631361-d121-461a-bb02-fc3486e5c31c
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