Cooperative Game Approach for Mobile Primary User Localization Based on Compressive Sensing in Multi-antenna Cognitive Sensor Networks
محورهای موضوعی : Wireless Network
1 - Mazandaran University
کلید واژه: Cooperative Spectrum Sensing, , Compressive Sensing, , Mobile Primary User Localization, , Detection Performance, , Game Theory, ,
چکیده مقاله :
In this paper, the problem of joint energy efficient spectrum sensing and determining the mobile primary user location is proposed based on compressive sensing in cognitive sensor networks. By utilizing compressive sensing, the ratio of measurements for the sensing nodes are considerably reduced. Therefore, energy consumption is improved significantly in spectrum sensing. The multi-antenna sensors is also considered to save more energy. On the other hand, multi-antenna sensor utilization is a proper solution instead of applying more sensors. The problem is formulated to maximize the network lifetime and find the mobile primary user position by sensors selection under the detection performance and accuracy of localization constraints. For this purpose, a cooperative game is proposed to study this problem. It is shown that with the proposed game, the network lifetime is maximized while the proper sensors which participate in spectrum sensing and primary user localization are determined. Simulation results show that the network lifetime is improved while the detection performance constraint is satisfied and the location of the primary user is determined with high accuracy.
In this paper, the problem of joint energy efficient spectrum sensing and determining the mobile primary user location is proposed based on compressive sensing in cognitive sensor networks. By utilizing compressive sensing, the ratio of measurements for the sensing nodes are considerably reduced. Therefore, energy consumption is improved significantly in spectrum sensing. The multi-antenna sensors is also considered to save more energy. On the other hand, multi-antenna sensor utilization is a proper solution instead of applying more sensors. The problem is formulated to maximize the network lifetime and find the mobile primary user position by sensors selection under the detection performance and accuracy of localization constraints. For this purpose, a cooperative game is proposed to study this problem. It is shown that with the proposed game, the network lifetime is maximized while the proper sensors which participate in spectrum sensing and primary user localization are determined. Simulation results show that the network lifetime is improved while the detection performance constraint is satisfied and the location of the primary user is determined with high accuracy.
[1] R. Zhang and Y.-C. Liang, "Investigation on multiuser diversity in spectrum sharing based cognitive radio networks", IEEE Commu. Lett., Vol. 14, No. 2, 2010,pp. 133–135.
[2] R. Zhang, Y.-C. Liang, and S. Cui, "Dynamic resource allocation in cognitive radio networks", IEEE Sig. Proc. Mag., Vol. 27, No. 3,2010,pp. 102–114.
[3] A. Attar, H.Tang, A.V. Vasilakos, F.R, Yu and V.C.M Leung, " A Survey of Security Challenges in Cognitive Radio Networks: Solutions and Future Research Directions", IEEE Proc., 2012, pp. 3172–3186.
[4] J. Wang, J.Chen and D. Cabric, "Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks", IEEE Trans. Wirel. Commun. Vol.12, 2013, pp.1363–1375.
[5] F.Ye, Y.Li, R.Yang and Z. Sun, "The user requirement based competitive price model for spectrum sharing in cognitive radio networks", Int. J. Distrib. Sens. Netw, 2013, doi:10.1155/2013/724581.
[6] J. Haupt, W. Bajwa, M. Rabbat, and R. Nowak, "Compressed sensing for networked data", IEEE Signal Processing Magazine, Vol. 25, No. 2, 2008,pp. 92-101.
[7] Z. Tian and G. Giannakis, "Compressed sensing for wideband cognitive radios", IEEE International Conference on Acoustics, Speech and Signal Processing, 2007, Vol. 4, pp. 1357–1360.
[8] F. Salahdine, N. Kaabouch and H.EI.Ghazi, " A survey on compressive sensing techniques for cognitive radio networks", Journal of Physical Commuincations, Vol.20, pp.61-73, 2016.
[9] Th. Wimalajeewa, P. K. Varshney, "Application of compressive sensing techniques in distributed sensor networks:A survey",Electrical Engineering and Systems Science Journal, Last revised 19 Jan 2019.
[10] Sh. Salim and S. Moh, "An Energy-Efficient Game-Theory-Based Spectrum Decision Scheme for Cognitive Radio Sensor Networks", Sensors Journal, 2016 ,pp.1-20.
[11] S.H.Hojjati, A.Ebrahimzadeh, S.M.H.Anadroli and M.Najimi, "Energy efficient cooperative spectrum sensing in wireless multi-antenna sensor networks", Springer Wireless Netw. Journal, 2017, pp. 567–578.
[12] N. Radhi, K. Aziz MIET, S. Hamad 3,H.S.AL-Raweshidy, "Estimate primary user localization using cognitive radio networks", IEEE on International Conference on Innovations in Information Technology,2011,pp.381-385.
[13] J. Werner, J. Wang, A.Hakkarainen, M. Valkama and D. Cabric, "Primary User Localization in Cognitive Radio Networks Using Sectorized Antennas", IEEE on 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS),2013,pp.155-161.
[14] X. Li, V. Chakravarthy, and Z. Wu, "Joint Spectrum Sensing and Primary User Localization for Cognitive Radio via Compressed Sensing", in Proc. of IEEE MILCOM, San Jose, California, 2010.
[15] J. A. Bazerque and G. B. Giannakis, "Distributed spectrum sensing for cognitive radio networks by exploiting sparsity", IEEE Transations on Signal Processing, Vol. 58, No. 3, 2010, pp. 1847-1862.
[16] W. Guibène and D.Slock, "Cooperative spectrum sensing and localization in cognitive radio systems using compressed sensing", Journal of Sensors, dx.doi.org/10.1155/2013/606413,2013.
[17] X. Li , et al., "Spatio-temporal compressive sensing-based data gathering in wireless sensor networks", IEEE Wireless Commun. Lett.Vol.7,No. 2, pp.198-201,2018.
[18] M.-H.Yang, et.al., "Fusion-based cooperative support identification for compressive networked sensing", published in ArXiv, DOI:10.1109/lwc.2019.2946552, 2019.
[19] F. Ye, X. Zhang, Y. Li and H. Huang, "Primary User Localization Algorithm Based on Compressive Sensing in Cognitive Radio Networks", Algorithms Journal, Vo.9,No.12, 2016,pp.1-11.
[20] Y. C. Liang, Y. Zeng, E. C. Peh, and A. T. Hoang, "Sensing-throughput trade off for cognitive radio networks", IEEE Trans.Wireless Commun.Vol.7, No.4, 2008, pp.1326-1337.
[21] E. Peh and Y. Ch. Liang, "Optimization for cooperative sensing in cognitive radio networks", IEEE Commun. Society, WCNC, 2007, pp.27-32.
[22] B. Zhang, "Sparse target counting and localization in sensor networks based on compressive sensing", IEEE Globecom, 2009.
[23] S. Maleki, A. Pandharipande, and G. Leus, "Energy-efficient distributed spectrum sensing for cognitive sensor networks", in Proc. 35th Annu. Conf. IEEE Ind. Electron. Soc., 2009, pp. 2642–2646.
[24] M. J. Osborne and A. Rubinstein, A Course in Game Theory. Cambridge, MA, USA: MIT Press, 1994.
[25] Quan Z., Cui S., Sayed A.H. "linear cooperation for spectrum sensing in cognitive radio networks", IEEE Journal of Selected Topics in Signal Processing,,Vol.2,No.1,2008, pp.28–39.
[26] M.Najimi, A. Ebrahimzadeh, S.M.Hosseni Andargoli, A. Fallahi, "A novel sensing nodes and decision node selection method for energy efficiency of cooperative spectrum sensing in cognitive sensor networks", IEEE Sensors Journal, Vol.13,No.5, 2013, pp.1610-1621.
