An energy efficient fuzzy clustering-based congestion control algorithm for cognitive radio sensor networks

Author:

Jyothi V.,Subramanyam M. V.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference27 articles.

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2. Priya, N., & Pankajavalli, P. B. (2019). Review and future directions of fault tolerance schemes and applied techniques in wireless sensor networks. International Journal of Computational Science and Engineering, 7, 599–606.

3. Moon, B. (2017). Dynamic spectrum access for the internet of things service in cognitive radio-enabled LPWANs. Sensors, 17(12), 2818.

4. Bhagat, N., & Malhotra, J., (2017). The issue and challenges in futirisyic development of coginitive radio networks. International Journal of Advanced Research in Computer Science, 8(7), 303–309.

5. Nayyar, A., Nguyen, B. L., & Nguyen, N. G. (2020). The internet of drone things (IoDT): Future envisions of smart drones. In: First international conference on sustainable technologies for computational intelligence (pp. 563–580). Springer, Singapore

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1. Spectrum Aware Unequal Clustering with Route Selection Protocol for Energy Efficient Cognitive Radio Wireless Sensor Networks;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23

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