ESco: Eligibility score-based strategy for sensors selection in CR-IoT: Application to LoRaWAN

Statistica, Internet of Things - number of connected devices worldwide 2015-2025, Statstica 2020 (accessed March 07, 2020). Available at https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/. Shah, 2016, A survey: Internet of Things (IOT) technologies, applications and challenges, 381 Atzori, 2010, The Internet of Things: a survey, Comput. Netw., 54, 2787, 10.1016/j.comnet.2010.05.010 Khan, 2017, Cognitive-radio-based internet of things: applications, architectures, spectrum related functionalities, and future research directions, IEEE Wirel. Commun., 24, 17, 10.1109/MWC.2017.1600404 Tabassum, 2016, Analysis of massive MIMO-enabled downlink wireless backhauling for full-duplex small cells, IEEE Trans. Commun., 64, 2354, 10.1109/TCOMM.2016.2555908 Yucek, 2009, A survey of spectrum sensing algorithms for cognitive radio applications, IEEE Commun. Surv. Tutor., 11, 116, 10.1109/SURV.2009.090109 Wyglinski, 2010 Wang, 2011, Advances in cognitive radio networks: a survey, IEEE J. Sel. Top. Signal Process., 5, 5, 10.1109/JSTSP.2010.2093210 Di Martino, 2018, Internet of things reference architectures, security and interoperability: a survey, Internet of Things, 1, 99, 10.1016/j.iot.2018.08.008 Bayhan, 2018, Spass: Spectrum sensing as a service via smart contracts, 1 Perera, 2014, Sensing as a service model for smart cities supported by internet of things, Trans. Emerg. Telecommun. Technol., 25, 81, 10.1002/ett.2704 Ejaz, 2015, Energy and throughput efficient cooperative spectrum sensing in cognitive radio sensor networks, Trans. Emerg. Telecommun. Technol., 26, 1019, 10.1002/ett.2803 Khan, 2016, When Cognitive Radio meets the Internet of Things?, 469 Rawat, 2016, Cognitive radio for M2M and Internet of Things: A survey, Comput. Commun., 94, 1, 10.1016/j.comcom.2016.07.012 Aijaz, 2015, Cognitive machine-to-machine communications for internet-of-things: a protocol stack perspective, IEEE Internet of Things J., 2, 103, 10.1109/JIOT.2015.2390775 Moon, 2017, Dynamic spectrum access for internet of things service in cognitive radio-enabled lpwans, Sensors, 17, 10.3390/s17122818 Ejaz, 2018, Multiband Spectrum Sensing and Resource Allocation for IoT in Cognitive 5G Networks, IEEE Internet of Things J., 5, 150, 10.1109/JIOT.2017.2775959 Weiss, 2010, Sensing as a service: an exploration into practical implementations of dsa, 1 Grøndalen, 2011, Evaluation of business cases for a cognitive radio network based on wireless sensor network, 242 Borza, 2019, Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity, Sensors, 19, 10.3390/s19153364 3GPP, Standardization of NB-IOT Completed, Jun. 2016. Available at http://www.3gpp.org/news-events/3gpp-news/1785-nb_iot_complete. Akyildiz, 2011, Cooperative spectrum sensing in cognitive radio networks: a survey, Phys. Commun., 4, 40, 10.1016/j.phycom.2010.12.003 Tandra, 2008, SNR walls for signal detection, IEEE J. Sel. Top. Signal Process., 2, 4, 10.1109/JSTSP.2007.914879 Piyare, 2018, On-demand lora: asynchronous tdma for energy efficient and low latency communication in iot, Sensors, 18, 3718, 10.3390/s18113718 Cheng, 2011, Full duplex spectrum sensing in non-time-slotted cognitive radio networks, 1029 Almasri, 2020, Distributed algorithm under cooperative or competitive priority users in cognitive networks, EURASIP J. Wirel. Commun. Netw., 2020, 145, 10.1186/s13638-020-01738-w Nasser, 2016, Spectrum sensing for full-duplex cognitive radio systems, 363 Barkat, 2005 Ghasemi, 2004, Collaborative spectrum sensing for opportunistic access in fading environments, Proc. IEEE DySPAN, 131 wen WU, 2010, Snr-based weighted cooperative spectrum sensing in cognitive radio networks, Journal of China Universities of Posts and Telecommunications, 17, 1, 10.1016/S1005-8885(09)60437-4 Selen, 2008, Sensor selection for cooperative spectrum sensing, 1 Cacciapuoti, 2012, Correlation-aware user selection for cooperative spectrum sensing in cognitive radio ad hoc networks, IEEE J. Sel. Areas Commun., 30, 297, 10.1109/JSAC.2012.120208 Gu et al.(2018)Gu, Jiang, and Tan C. Gu, L. Jiang, R. Tan, Lora-based localization: Opportunities and challenges, arXiv preprint arXiv:1812.11481(2018). Bankov, 2019, Lorawan modeling and mcs allocation to satisfy heterogeneous qos requirements, Sensors, 19, 10.3390/s19194204 Farhad, 2020, Resource allocation to massive internet of things in lorawans, Sensors, 20, 10.3390/s20092645 LoRaWANTM 1.0.3 Specification, Notice of Use and Disclosure, 2018. Available at https://lora-alliance.org/sites/default/files/2018-06/lorawan1.0.3_final_0.pdf. Mroue, 2020, LoRa+: An extension of LoRaWAN protocol to reduce infrastructure costs by improving the Quality of Service, Internet of Things, 9, 100176, 10.1016/j.iot.2020.100176 Casals, 2017, Modeling the energy performance of lorawan, Sensors, 17, 10.3390/s17102364 Liang, 2008, Sensing-throughput tradeoff for cognitive radio networks, IEEE Trans. Wirel. Commun., 7, 1326, 10.1109/TWC.2008.060869 Liao, 2017, Listen-and-talk: protocol design and analysis for full-duplex cognitive radio networks, IEEE Trans. Veh. Technol., 66, 656 Kleber, 2017, Radiohound: a pervasive sensing platform for sub-6 ghz dynamic spectrum monitoring, 1 S. Documen, SX1272 Development Kit User Guide, 2018. Available at https://www.semtech.com/uploads/documents/sx1272ska_userguide.pdf. S.M. Document, STM32L073x8 STM32L073xB STM32L073xZ Data Sheet, 2018. Available at https://www.st.com/resource/en/datasheet/stm32l073v8.pdf. Bouguera, 2018, Energy consumption model for sensor nodes based on lora and lorawan, Sensors, 18, 10.3390/s18072104 Towhidlou, 2018, Adaptive full-duplex communications in cognitive radio networks, IEEE Trans. Veh. Technol., 67, 8386, 10.1109/TVT.2018.2847229