Duty—Cycling Based Energy-Efficient Framework for Smart Healthcare System (SHS)
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9331-2_49
Reference21 articles.
1. Azar J, Makhoul A, Barhamgi M, Couturier R (2019) An energy efficient IoT data compression approach for edge machine learning. Futur Gener Comput Syst 96:168–175. https://doi.org/10.1016/j.future.2019.02.005
2. Dhall R, Agrawal H (2018) An improved energy efficient duty cycling algorithm for IoT based precision agriculture. Procedia Comput Sci 141:135–142. https://doi.org/10.1016/j.procs.2018.10.159
3. Haimour J (2019) Energy efficient sleep/wake-up techniques for IOT : a survey. 459–464
4. Hameed G, Singh Y, Haq S, Rana B (2022) Blockchain-based model for secure IoT communication in smart healthcare. 715–730. https://doi.org/10.1007/978-981-19-0284-0_52
5. Huang HY, Lee T, Youn HY (2021) Event driven duty cycling with reinforcement learning and Monte Carlo technique for wireless network
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1. A Priority Based Energy-Efficient Metaheuristic Routing Approach for Smart Healthcare System (SHS);IEEE Access;2024
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