Abstract
The study on the topic has an intention of increasing energy life increases with the possible logics like optimized double Q-learning, application of intellectual cognitive radio network system and the entrenched Internet of Things on the Network Lifetime Aware Routing Protocol (NLARP). A system has been developed using such an algorithm, the study has covered the problem of overestimation in the Q-learning, and the solution by double Q-learning has been recorded. Spectrum and energy conservation or enhancement was another logic where the battery usage of 50% has been studied and found that the energy has been saved or better utilized. The study concludes that the chosen technology has reflected very positively in all aspects.
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Sharma, J., Patel, S.K., Patle, V.K. (2023). A Study on the Implications of NLARP to Optimize Double Q-Learning for Energy Enhancement in Cognitive Radio Networks with IoT Scenario. In: Yadav, R.P., Nanda, S.J., Rana, P.S., Lim, MH. (eds) Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-8742-7_34
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DOI: https://doi.org/10.1007/978-981-19-8742-7_34
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