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Title	Recriot-Mac: A Reliable And Energy Efficient Resource Management For Internet Of Things Based Cognitive Radio Multi- Channel Mac Protocol
ID_Doc	44697
Authors	Agrawal N.K.; Kumar S.; Bisht G.S.; Srivastav A.; Bansla V.; Jain A.
Year	2024
Published	Proceedings of International Conference on Communication, Computer Sciences and Engineering, IC3SE 2024
DOI	http://dx.doi.org/10.1109/IC3SE62002.2024.10592928
Abstract	Currently, the overcrowding of unlicensed spectrum bands is causing severe interference to IoT devices embedded with sensors. CR-IoT networks apply cognitive radio capabilities to the internet of things to solve the spectrum scarcity issue in conventional IoT networks. An CR radio detects available spectrum channels by dynamically modifying its programming and configuration. IoT, smart cities, and 5G all benefit from cognitive radio applications. A cognitive radio application is useful for IoT, smart cities, and 5G. Compared to benchmark Cognitive Radio MAC (CR- MAC) protocols, the proposed protocol is more reliable, intelligent, and smart. CR technology for IoT applications can be advanced by us in order to make IoT more affordable and applicable. It is demonstrated by comparing the proposed RECRIoT-MAC protocol with benchmark CR-MAC protocols that is more energy efficient and consumes less communication time. This paper examines RECRIoT-MAC's energy consumption and throughput. © 2024 IEEE.
Author Keywords	Cognitive Radio; Energy-Efficient; MAC Protocol; RECRIoT- MAC; Throughput

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