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A Joint Power, Delay and Rate Optimization Model for Secondary Users in Cognitive Radio Sensor Networks
Open AccessEditorial

Cognitive Radio Networks for Internet of Things and Wireless Sensor Networks

1
Department of Electronics and Information Engineering, Korea University, Sejong 30019, Korea
2
Department of Information and Communication Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsangbuk-do, Gyeongsan-si 38541, Korea
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(18), 5288; https://doi.org/10.3390/s20185288
Received: 12 September 2020 / Accepted: 15 September 2020 / Published: 16 September 2020
Recent innovation, growth, and deployment of internet of things (IoT) networks are changing the daily life of people. 5G networks are widely deployed around the world, and they are important for continuous growth of IoT. The next generation cellular networks and wireless sensor networks (WSN) make the road to the target of the next generation IoT networks. The challenges of the next generation IoT networks remain in reducing the overall network latency and increasing throughput without sacrificing reliability. One feasible alternative is coexistence of networks operating on different frequencies. However, data bandwidth support and spectrum availability are the major challenges. Therefore, cognitive radio networks (CRN) are the best available technology to cater to all these challenges for the co-existence of IoT, WSN, 5G, and beyond-5G networks. View Full-Text
Keywords: CRN; IoT; WSN; 5G; spectrum sensing; spectrum sharing CRN; IoT; WSN; 5G; spectrum sensing; spectrum sharing
MDPI and ACS Style

Yu, H.; Zikria, Y.B. Cognitive Radio Networks for Internet of Things and Wireless Sensor Networks. Sensors 2020, 20, 5288.

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