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Resource Management for Cognitive Radio-Based LoRaWAN

  
17 gru 2024

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K. Mekki, E. Bajic, F. Chaxel, and F. Meyer, “A comparative study of LPWAN technologies for large-scale IoT deployment,” ICT Express, vol. 5, no. 1, 2019, doi: 10.1016/j.icte.2017.12.005. MekkiK. BajicE. ChaxelF. MeyerF. “A comparative study of LPWAN technologies for large-scale IoT deployment,” ICT Express 5 1 2019 10.1016/j.icte.2017.12.005 Open DOISearch in Google Scholar

F. Sanchez-Sutil and A. Cano-Ortega, “Smart regulation and efficiency energy system for street lighting with LoRa LPWAN,” Sustain Cities Soc, vol. 70, 2021, doi: 10.1016/j.scs.2021.102912. Sanchez-SutilF. Cano-OrtegaA. “Smart regulation and efficiency energy system for street lighting with LoRa LPWAN,” Sustain Cities Soc 70 2021 10.1016/j.scs.2021.102912 Open DOISearch in Google Scholar

G. Gupta and R. Van Zyl, “Energy harvested end nodes and performance improvement of LoRa networks,” International Journal on Smart Sensing and Intelligent Systems, vol. 14, no. 1, 2021, doi: 10.21307/IJSSIS-2021-002. GuptaG. Van ZylR. “Energy harvested end nodes and performance improvement of LoRa networks,” International Journal on Smart Sensing and Intelligent Systems 14 1 2021 10.21307/IJSSIS-2021-002 Open DOISearch in Google Scholar

R. S. Sinha, Y. Wei, and S. H. Hwang, “A survey on LPWA technology: LoRa and NB-IoT,” ICT Express, vol. 3, no. 1. 2017. doi: 10.1016/j.icte.2017.03.004. SinhaR. S. WeiY. HwangS. H. “A survey on LPWA technology: LoRa and NB-IoT,” ICT Express 3 1 2017 10.1016/j.icte.2017.03.004 Open DOISearch in Google Scholar

J. Peña Queralta, T. N. Gia, Z. Zou, H. Tenhunen, and T. Westerlund, “Comparative study of LPWAN technologies on unlicensed bands for M2M communication in the IoT: Beyond Lora and Lorawan,” in Procedia Computer Science, 2019. doi: 10.1016/j.procs.2019.08.049. Peña QueraltaJ. GiaT. N. ZouZ. TenhunenH. WesterlundT. “Comparative study of LPWAN technologies on unlicensed bands for M2M communication in the IoT: Beyond Lora and Lorawan,” in Procedia Computer Science 2019 10.1016/j.procs.2019.08.049 Open DOISearch in Google Scholar

G. Gupta and R. Van Zyl, “NOMA-Based LPWA Networks,” in Lecture Notes in Networks and Systems, 2022. doi: 10.1007/978-981-16-2126-0_42. GuptaG. Van ZylR. “NOMA-Based LPWA Networks,” in Lecture Notes in Networks and Systems 2022 10.1007/978-981-16-2126-0_42 Open DOISearch in Google Scholar

G. Gupta, R. Van Zyl, and V. Balyan, “Evaluation of LoRa nodes for long-range communication,” Nonlinear Engineering, vol. 11, no. 1, 2022, doi: 10.1515/nleng-2022-0236. GuptaG. Van ZylR. BalyanV. “Evaluation of LoRa nodes for long-range communication,” Nonlinear Engineering 11 1 2022 10.1515/nleng-2022-0236 Open DOISearch in Google Scholar

A. J. Onumanyi, A. M. Abu-Mahfouz, and G. P. Hancke, “Low power wide area network, cognitive radio and the internet of things: Potentials for integration,” Sensors (Switzerland), vol. 20, no. 23. 2020. doi: 10.3390/s20236837. OnumanyiA. J. Abu-MahfouzA. M. HanckeG. P. “Low power wide area network, cognitive radio and the internet of things: Potentials for integration,” Sensors (Switzerland) 20 23 2020 10.3390/s20236837 Open DOISearch in Google Scholar

A. C. Sumathi, R. Vidhyapriya, C. Vivekanandan, and A. K. Sangaiah, “Enhancing 4G Co-existence with Wi-Fi/IoT using cognitive radio,” Cluster Comput, vol. 22, 2019, doi: 10.1007/s10586-017-1383-5. SumathiA. C. VidhyapriyaR. VivekanandanC. SangaiahA. K. “Enhancing 4G Co-existence with Wi-Fi/IoT using cognitive radio,” Cluster Comput 22 2019 10.1007/s10586-017-1383-5 Open DOISearch in Google Scholar

L. Beltramelli, A. Mahmood, M. Gidlund, P. Osterberg, and U. Jennehag, “Interference Modelling in a Multi-Cell LoRa System,” in International Conference on Wireless and Mobile Computing, Networking and Communications, 2018. doi: 10.1109/WiMOB.2018.8589100. BeltramelliL. MahmoodA. GidlundM. OsterbergP. JennehagU. “Interference Modelling in a Multi-Cell LoRa System,” in International Conference on Wireless and Mobile Computing, Networking and Communications 2018 10.1109/WiMOB.2018.8589100 Open DOISearch in Google Scholar

D. Magrin, M. Centenaro, and L. Vangelista, “Performance evaluation of LoRa networks in a smart city scenario,” in IEEE International Conference on Communications, 2017. doi: 10.1109/ICC.2017.7996384. MagrinD. CentenaroM. VangelistaL. “Performance evaluation of LoRa networks in a smart city scenario,” in IEEE International Conference on Communications 2017 10.1109/ICC.2017.7996384 Open DOISearch in Google Scholar

M. Bor, U. Roedig, T. Voigt, and J. M. Alonso, “Do LoRa low-power wide-area networks scale?,” in MSWiM 2016 - Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2016. doi: 10.1145/2988287.2989163. BorM. RoedigU. VoigtT. AlonsoJ. M. “Do LoRa low-power wide-area networks scale?,” in MSWiM 2016 - Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems 2016 10.1145/2988287.2989163 Open DOISearch in Google Scholar

P. Robyns, P. Quax, W. Lamotte, and W. Thenaers, “A multi-channel software decoder for the LoRa modulation scheme,” in IoTBDS 2018 - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security, 2018. doi: 10.5220/0006668400410051. RobynsP. QuaxP. LamotteW. ThenaersW. “A multi-channel software decoder for the LoRa modulation scheme,” in IoTBDS 2018 - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security 2018 10.5220/0006668400410051 Open DOISearch in Google Scholar

M. Bor, J. Vidler, and U. Roedig, “Lora for the internet of things,” in International Conference on Embedded Wireless Systems and Networks, 2016. BorM. VidlerJ. RoedigU. “Lora for the internet of things,” in International Conference on Embedded Wireless Systems and Networks 2016 Search in Google Scholar

J. Petäjäjärvi, K. Mikhaylov, M. Pettissalo, J. Janhunen, and J. Iinatti, “Performance of a low-power wide-area network based on lora technology: Doppler robustness, scalability, and coverage,” Int J Distrib Sens Netw, vol. 13, no. 3, 2017, doi: 10.1177/1550147717699412. PetäjäjärviJ. MikhaylovK. PettissaloM. JanhunenJ. IinattiJ. “Performance of a low-power wide-area network based on lora technology: Doppler robustness, scalability, and coverage,” Int J Distrib Sens Netw 13 3 2017 10.1177/1550147717699412 Open DOISearch in Google Scholar

L. Vangelista, “Frequency Shift Chirp Modulation: The LoRa Modulation,” IEEE Signal Process Lett, vol. 24, no. 12, 2017, doi: 10.1109/LSP.2017.2762960. VangelistaL. “Frequency Shift Chirp Modulation: The LoRa Modulation,” IEEE Signal Process Lett 24 12 2017 10.1109/LSP.2017.2762960 Open DOISearch in Google Scholar

C. H. Liao, G. Zhu, D. Kuwabara, M. Suzuki, and H. Morikawa, “Multi-Hop LoRa Networks Enabled by Concurrent Transmission,” IEEE Access, vol. 5, 2017, doi: 10.1109/ACCESS.2017.2755858. LiaoC. H. ZhuG. KuwabaraD. SuzukiM. MorikawaH. “Multi-Hop LoRa Networks Enabled by Concurrent Transmission,” IEEE Access 5 2017 10.1109/ACCESS.2017.2755858 Open DOISearch in Google Scholar

M. S. Khan, S. M. Kim, E. H. Lee, and J. Kim, “Genetic Algorithm Based Cooperative Spectrum Sensing Optimization in the Presence of Malicious Users in Cognitive Radio Networks,” in ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, 2019. doi: 10.1109/ICTC46691.2019.8939859. KhanM. S. KimS. M. LeeE. H. KimJ. “Genetic Algorithm Based Cooperative Spectrum Sensing Optimization in the Presence of Malicious Users in Cognitive Radio Networks,” in ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future 2019 10.1109/ICTC46691.2019.8939859 Open DOISearch in Google Scholar

J. Chen, S. Huang, H. Li, X. Lv, and Y. Cai, “PSO-Based Agent Cooperative Spectrum Sensing in Cognitive Radio Networks,” IEEE Access, vol. 7, 2019, doi: 10.1109/ACCESS.2019.2944227. ChenJ. HuangS. LiH. LvX. CaiY. “PSO-Based Agent Cooperative Spectrum Sensing in Cognitive Radio Networks,” IEEE Access 7 2019 10.1109/ACCESS.2019.2944227 Open DOISearch in Google Scholar

M. S. Hossain and M. S. Miah, “Machine learning-based malicious user detection for reliable cooperative radio spectrum sensing in Cognitive Radio-Internet of Things,” Machine Learning with Applications, vol. 5, 2021, doi: 10.1016/j.mlwa.2021.100052. HossainM. S. MiahM. S. “Machine learning-based malicious user detection for reliable cooperative radio spectrum sensing in Cognitive Radio-Internet of Things,” Machine Learning with Applications 5 2021 10.1016/j.mlwa.2021.100052 Open DOISearch in Google Scholar

Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Inżynieria, Wstępy i przeglądy, Inżynieria, inne