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Articles

SCAN-CogRSG: Secure Channel Allocation by Dynamic Cluster Switching for Cognitive Radio Enabled Smart Grid Communications

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References

  • N. Shaukat, S. M. Ali, C. A. Mehmood, B. Khan, M. Jawad, U. Farid, Z. Ullah, S. M. Anwar, and M. Majid, “A survey on consumers empowerment, communication technologies, and renewable generation penetration within smart grid,” Renew. Sustainable Energy Rev., Vol. 81, pp. 1453–75, 2018. doi: 10.1016/j.rser.2017.05.208
  • D. Jiang, Y. Wang, Z. Lv, S. Qi, and S. Singh, “Big data analysis-based network behavior insight of cellular networks for Industry 4.0 Applications,” IEEE Trans. Ind. Inf., 2019.
  • M. H. Rehmani, M. Reisslein, A. Rachedi, M. Erol-Kantarci, and M. Radenkovic, “Integrating renewable energy resources into the smart grid: Recent developments in information and communication technologies,” IEEE Trans. Ind. Inf., Vol. 14, pp. 2814–25, 2018. doi: 10.1109/TII.2018.2819169
  • M. Faheem, S. B. Shah, R. A. Butt, B. Raza, M. Anwar, M. W. Ashraf, M. A. Ngadi, and V. C. Gungor, “Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges,” Comput. Sci. Rev., Vol. 30, pp. 1–30, 2018. doi: 10.1016/j.cosrev.2018.08.001
  • W. Zhang, C. Wang, X. Ge, and Y. Chen, “Enhanced 5G cognitive radio networks based on spectrum sharing and spectrum aggregation,” IEEE Trans. Commun., Vol. 66, pp. 6304–16, 2018. doi: 10.1109/TCOMM.2018.2863385
  • M. Liu, T. Song, J. Hu, J. Yang, and G. Gui, “Deep learning-inspired message passing algorithm for efficient resource allocation in cognitive radio networks,” IEEE Trans. Veh. Technol., Vol. 68, pp. 641–53, 2019. doi: 10.1109/TVT.2018.2883669
  • K. Elangovan, and S. Subashini, “Particle bee optimized convolution neural network for managing security using cross-layer design in cognitive radio network,” J. Ambient Intell. Humanized Comput., 1–9, 2018.
  • L. K. Chhaya, P. Sharma, A. Kumar, and G. Bhagwatikar. “ Integration of cognitive radio with heterogeneous smart grid communication architecture,” 2018.
  • W. Zhang, Y. Sun, L. Deng, C. K. Yeo, and L. Yang, “Dynamic spectrum allocation for heterogeneous cognitive radio networks with multiple channels,” IEEE Syst. J., Vol. 13, pp. 53–64, 2019. doi: 10.1109/JSYST.2018.2822309
  • M. A. Rahman, Y. Lee, and I. Koo, “Joint relay selection and power allocation through a genetic algorithm for secure cooperative cognitive radio networks,” Sensors, 2018.
  • D. Jiang, W. Wang, L. Shi, and H. Song, “A compressive sensing-based approach to end-to-end network traffic reconstruction,” IEEE Trans. Network Sci. Eng., Vol. 5, no. 3, pp. 1–12, 2019.
  • L. Huo, and D. Jiang, “Stackelberg game-based energy-efficient resource allocation for 5G cellular networks,” Telecommun. Syst., Vol. 72, no. 3, pp. 377–88, 2019. doi: 10.1007/s11235-019-00564-w
  • W. Singh, and N. Marchang, “A review on spectrum allocation in cognitive radio network,” Int. J. Commun. Networks Distrib. Syst., Vol. 23, pp. 172–93, 2018. 10.1504/IJCNDS.2019.10014474.
  • A. Salah, H. M. Abdel-Atty, and R. Y. Rizk, “Joint channel assignment and power allocation based on maximum concurrent multicommodity flow in cognitive radio networks,” Wireless Commun. Mobile Comput., Vol. 2018, pp. 3545946:1–14, 2018. doi: 10.1155/2018/3545946
  • M. Devi, N. Sarma, and S. K. Deka, “Spectrum allocation in cognitive radio networks – A centralized approach,” Adv. Comput. Commun. Paradigms, 2018.
  • S. Senthilkumar, and C. G. Priya, “Hidden Markov model based channel selection framework for cognitive radio network,” Comput. Electr. Eng., Vol. 65, pp. 516–26, 2016.
  • S. Kar, S. Sethi, and R. K. Sahoo, “A multi-factor trust management scheme for secure spectrum sensing in cognitive radio networks,” Wireless Pers. Commun., Vol. 97, pp. 2523–40, 2017. doi: 10.1007/s11277-017-4621-5
  • M. M. Rana, “Architecture of the internet of energy network: An application to smart grid communications,” IEEE Access, Vol. 5, pp. 4704–10, 2017. doi: 10.1109/ACCESS.2017.2683503
  • X. Deng, T. He, L. He, J. Gui, and Q. Peng, “Performance analysis for IEEE 802.11s wireless mesh network in smart grid,” Wireless Pers. Commun., Vol. 96, pp. 1537–55, 2017. doi: 10.1007/s11277-017-4255-7
  • D. Jiang, L. Huo, Z. Lv, H. Song, and W. Qin, “A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking,” IEEE Trans. Intell. Transp. Syst., Vol. 19, pp. 3305–19, 2018. doi: 10.1109/TITS.2017.2778939
  • N. Mansoor, A. Islam, M. Zareei, and C. Vargas-Rosales, “RARE: A spectrum aware cross-layer MAC protocol for cognitive radio ad-hoc networks,” IEEE Access, Vol. 6, pp. 22210–27, 2018. doi: 10.1109/ACCESS.2018.2807781
  • M. Zareei, I. A. Muzahidul, S. Baharun, C. V. Rosales, L. Azpilicueta, and N. Mansoor, “Medium access control protocols for cognitive radio ad hoc networks: A survey,” Sensors, 2017.
  • S. Alam, M. F. Sohail, S. A. Ghauri, I. M. Qureshi, and N. Aqdas. “ Cognitive radio based smart grid communication network,” 2017.
  • E. U. Ogbodo, D. G. Dorrell, and A. M. Abu-Mahfouz, “Cognitive radio based sensor network in smart grid: Architectures, applications and communication technologies,” IEEE Access, Vol. 5, pp. 19084–98, 2017. doi: 10.1109/ACCESS.2017.2749415
  • H. A. Salameh, S. Almajali, M. Ayyash, and H. Elgala, “Spectrum assignment in cognitive radio networks for internet-of-things delay-sensitive applications under jamming attacks,” IEEE Internet Things J., Vol. 5, pp. 1904–13, 2018. doi: 10.1109/JIOT.2018.2817339
  • O. R. Boudia, S. M. Senouci, and M. Feham, “Elliptic curve-based secure multidimensional aggregation for smart grid communications,” IEEE Sens. J., Vol. 17, pp. 7750–7, 2017. doi: 10.1109/JSEN.2017.2720458
  • K. Mahmood, S. A. Chaudhry, S. H. Naqvi, S. Kumari, X. Li, and A. K. Sangaiah, “An elliptic curve cryptography based lightweight authentication scheme for smart grid communication,” Future Generation Comp. Syst, Vol. 81, pp. 557–65, 2018. doi: 10.1016/j.future.2017.05.002
  • S. Tonyali, K. Akkaya, N. Saputro, A. S. Uluagac, and M. Nojoumian, “Privacy-preserving protocols for secure and reliable data aggregation in IoT-enabled Smart Metering systems,” Future Generation Comp. Syst, Vol. 78, pp. 547–57, 2018. doi: 10.1016/j.future.2017.04.031
  • T. Liu, J. Tian, Y. Gui, Y. Liu, and P. Liu, “SEDEA: State estimation-based dynamic encryption and authentication in smart grid,” IEEE Access, Vol. 5, pp. 15682–93, 2017. doi: 10.1109/ACCESS.2017.2713440
  • M. Wazid, A. K. Das, N. Kumar, and J. J. Rodrigues, “Secure three-factor user authentication scheme for renewable-energy-based smart grid environment,” IEEE Trans. Ind. Inf., Vol. 13, pp. 3144–53, 2017. doi: 10.1109/TII.2017.2732999
  • L. Xu, L. X. Cai, Y. Gao, J. Xia, Y. Yang, and T. Chai, “Security-aware proportional fairness resource allocation for cognitive heterogeneous networks,” IEEE Trans. Veh. Technol., Vol. 67, pp. 11694–704, 2018. doi: 10.1109/TVT.2018.2873139
  • K. Merchant, S. Revay, G. Stantchev, and B. Nousain, “Deep learning for RF device fingerprinting in cognitive communication networks,” IEEE J. Sel. Top. Sign. Process., Vol. 12, pp. 160–7, 2018. doi: 10.1109/JSTSP.2018.2796446
  • Y. Jararweh, H. A. Salameh, A. Alturani, L. A. Tawalbeh, and H. Song, “Anomaly-based framework for detecting dynamic spectrum access attacks in cognitive radio networks,” Telecommun. Syst., Vol. 67, pp. 217–29, 2018. doi: 10.1007/s11235-017-0329-9
  • G. P. Raman, and V. Perumal, “Neuro-fuzzy based two-stage spectrum allocation scheme to ensure spectrum efficiency in CRN-CSS assisted by spectrum agent,” IET Circuits, Devices Syst., Vol. 13, pp. 637–46, 2019. doi: 10.1049/iet-cds.2018.5128
  • A. Ali, L. Abbas, M. Shafiq, A. K. Bashir, M. K. Afzal, H. B. Liaqat, M. H. Siddiqi, and K. S. Kwak, “Hybrid fuzzy logic scheme for efficient channel utilization in Cognitive Radio Networks,” IEEE Access, Vol. 7, pp. 24463–76, 2019. doi: 10.1109/ACCESS.2019.2900233
  • Z. Teng, L. Xie, H. Chen, L. Teng, and H. Li, “Application research of game theory in cognitive radio spectrum allocation,” Wireless Networks, 2019.
  • Y. Zeng, L. Xu, X. Yang, and X. Yi, “An efficient privacy-preserving protocol for database-driven cognitive radio networks,” Ad Hoc Networks, Vol. 90, 2019. doi: 10.1016/j.adhoc.2018.08.009
  • G. Bharathi, and K. M. Jeyanthi, “An optimization algorithm-based resource allocation for cooperative cognitive radio networks,” The J. Supercomputing, 1–21, 2018.
  • X. Zhang, X. Zhang, L. Han, and R. Xing, “Utilization-oriented spectrum allocation in an underlay cognitive radio network,” IEEE Access, Vol. 6, pp. 12905–12, 2018. doi: 10.1109/ACCESS.2018.2808473
  • F. Li, K. Lam, Z. Sheng, X. Zhang, K. Zhao, and L. Wang, “Q-learning-based dynamic spectrum access in cognitive industrial internet of things,” Mobile Networks Appl., Vol. 23, pp. 1636–44, 2018. doi: 10.1007/s11036-018-1109-9
  • S. Mohapatra, P. K. Sahoo, and J. Sheu, “Spectrum allocation with guaranteed rendezvous in asynchronous cognitive radio networks for internet of things,” IEEE Internet Things J., Vol. 6, pp. 6104–16, 2019. doi: 10.1109/JIOT.2018.2872459
  • M. Iqbal, M. Naeem, A. Ahmed, M. Awais, A. Anpalagan, and A. Ahmad, “Swarm intelligence based resource management for cooperative cognitive radio network in smart hospitals,” Wireless Pers. Commun., Vol. 98, pp. 571–92, 2017. doi: 10.1007/s11277-017-4884-x
  • K. Ma, P. Liu, J. Yang, X. Wei, and C. Dou, “Spectrum allocation and power optimization for demand-side cooperative and cognitive communications in smart grid,” IEEE Trans. Ind. Inf., Vol. 15, pp. 1830–9, 2019. doi: 10.1109/TII.2018.2868868
  • A. Mohammadi, M. J. Dehghani, and E. Ghazizadeh. “ Game theoretic spectrum allocation in Femtocell networks for smart electric distribution grids,” 2018.
  • T. Jiang, “Distributed framework for cognitive radio based smart grid and according communication/power management strategies,” China Com, 2016.
  • S. Kar, S. Sethi, and R. K. Sahoo. “ A trust-based technique for secure spectrum access in cognitive radio networks,” 2018.
  • S. Alam, A. N. Malik, I. M. Qureshi, S. A. Ghauri, and M. Sarfraz, “Clustering-based channel allocation scheme for neighborhood area network in a cognitive Radio based smart grid communication,” IEEE Access, Vol. 6, pp. 25773–84, 2018. doi: 10.1109/ACCESS.2018.2832246
  • S. Alam, A. N. Malik, I. M. Qureshi, S. A. Ghauri, and M. Sarfraz, “Joint power and channel allocation scheme for IEEE 802.11af based smart grid communication network,” Future Gener. Comp. Syst, Vol. 95, pp. 694–712, 2019. doi: 10.1016/j.future.2019.01.027
  • M. W. Khan, and M. Zeeshan, “QoS-based dynamic channel selection algorithm for cognitive radio based smart grid communication network,” Ad Hoc Networks, Vol. 87, pp. 61–75, 2019a. doi: 10.1016/j.adhoc.2018.11.007
  • M. W. Khan, and M. Zeeshan, “Fuzzy inference based adaptive channel allocation for IEEE 802.22 compliant smart grid network,” Telecommun. Syst., 1–15, 2019b. doi: 10.1007/s11235-018-00545-5
  • A. Babaei, and G. Schiele, “Physical unclonable functions in the internet of things: State of the art and open challenges,” Sensors, 2019.
  • L. Liberti, and C. D’Ambrosio. The Isomap algorithm in distance geometry. Palaiseau: SEA, 2017.
  • R. Neelaveni, and B. Sridevi, “A novel Neyman–Pearson criterion-based adaptive neuro-fuzzy inference system (NPC-ANFIS) model for security threats detection in cognitive radio networks,” Soft Comput., 1–9, 2019.
  • S. Jang, C. Han, K. Lee, and S. Yoo, “Reinforcement learning-based dynamic band and channel selection in cognitive radio ad-hoc networks,” EURASIP J. Wireless Commun. Networking, Vol. 2019, pp. 1–25, 2019. doi: 10.1186/s13638-019-1433-1
  • M. U. Asad, Y. Nianmin, and M. Aslam. Spiral mobility based on optimized clustering for optimal data extraction in WSNs, 2018.

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