Abstract
The Smart Healthcare System (SHS) facilitates personalized health-related services on demand and in real-time to healthcare physicians, doctors, and patients. SHS involves the body sensors for sensing different health conditions continuously. Therefore, necessitates managing the energy of the sensor node to extend the overall network lifetime. A sensor node is expected to work for a longer time in a Smart Healthcare System to transmit data continuously to the remote servers. One such approach on which the energy consumption heavily depends is the efficient management of duty cycling of sensor nodes. Being motivated by this, we have proposed an energy-efficient On-demand duty cycling-based framework in SHS. The On-Demand wake-up radio uses low-power signals to activate the components of a sensor node. Our framework is distinguished in the sense that the adaptive duty cycled approach is employed on the communication unit of the sensor node based on the full-functional and reduced functional devices. The proposed framework facilitates energy-efficient communication by managing duty cycling on individual components of the sensor node. The proposed framework has been supported by algorithms.
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References
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
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
Haimour J (2019) Energy efficient sleep/wake-up techniques for IOT : a survey. 459–464
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
Huang HY, Lee T, Youn HY (2021) Event driven duty cycling with reinforcement learning and Monte Carlo technique for wireless network
Jeon C, Koo J, Lee K, Lee M, Kim SK, Shin S, Sim JY et al (2020) A smart contact lens controller IC supporting dual-mode telemetry with wireless-powered backscattering LSK and EM-radiated RF transmission using a single-loop antenna. IEEE J Solid-State Circuits 55(4):856–867. https://doi.org/10.1109/JSSC.2019.2959493
Kim G, Kang JG, Rim M (2019) Dynamic duty-cycle MAC protocol for IoT environments and wireless sensor networks. Energies 12(21). https://doi.org/10.3390/en12214069
Kozłowski A, Sosnowski J (2019) Energy efficiency trade-off between duty-cycling and wake-up radio techniques in IoT networks. Wireless Pers Commun 107(4):1951–1971. https://doi.org/10.1007/s11277-019-06368-0
Lazarevskal M, Farahbakhsh R, Manshakya N, Crespi N (2018) Mobility supported energy efficient routing protocol for IoT based healthcare applications. In: 2018 IEEE conference on standards for communications and networking, CSCN 2018. https://doi.org/10.1109/CSCN.2018.8581828
Majumdar A, Debnath T, Biswas A, Sood SK, Baishnab KL (2020) An energy efficient e-healthcare framework supported by novel EO- μ GA (Extremal Optimization Tuned Micro-Genetic Algorithm)
Monti A, Alata E, Dragomirescu D, Takacs A (2018) Power supply duty cycling for highly constrained IoT devices. In: Proceedings of the international semiconductor conference, CAS, 2018-Oct, pp 215–218. https://doi.org/10.1109/SMICND.2018.8539832
Rana B (2020) A systematic survey on internet of things: energy efficiency and interoperability perspective (August), pp 1–41. https://doi.org/10.1002/ett.4166
Rana B, Singh Y (2021) Internet of things and UAV: an interoperability perspective. Unmanned Aer Veh Internet Things (IoT) 105–127. https://doi.org/10.1002/9781119769170.ch6
Rana B, Singh Y, Singh H (2021) Metaheuristic routing: a taxonomy and energy-efficient framework for internet of things. IEEE Access 9:155673–155698. https://doi.org/10.1109/ACCESS.2021.3128814
Rana B, Yashwant S (2021) Duty-cycling techniques in IoT: energy-efficiency perspective. In: International conference on recent innovations in computing (ICRIC-2021)
Sinde R, Begum F, Njau K, Kaijage S (2020) Refining network lifetime of wireless sensor network using energy‐efficient clustering and DRL‐based sleep scheduling. Sensors (Switzerland) 20(5). https://doi.org/10.3390/s20051540
Sodhro AH, Pirbhulal S, Sodhro GH, Gurtov A, Muzammal M, Luo Z (2019) A joint transmission power control and duty-cycle approach for smart healthcare system. IEEE Sens J 19(19):8479–8486. https://doi.org/10.1109/JSEN.2018.2881611
Sodhro AH, Pirbhulal S, Sodhro GH, Gurtov A, Sodhro AH, Pirbhulal S, Luo Z et al (2018) A joint transmission power control and duty-cycle approach for smart healthcare system a joint transmission power control and duty-cycle approach for smart healthcare system. https://doi.org/10.1109/JSEN.2018.2881611
Wang Z, Liu R, Liu Q, Thompson JS, Kadoch M (2020) Energy-efficient data collection and device positioning in UAV-assisted IoT. IEEE Internet Things J 7(2):1122–1139. https://doi.org/10.1109/JIOT.2019.2952364
Yang G, Jan MA, Menon VG, Shynu PG, Aimal MM, Alshehri MD (2020) A centralized cluster-based hierarchical approach for green communication in a smart healthcare system. IEEE Access 8:101464–101475. https://doi.org/10.1109/ACCESS.2020.2998452
Zahid N, Sodhro AH, Al-Rakhami MS, Wang L, Gumaei A, Pirbhulal S (2021) An adaptive energy optimization mechanism for decentralized smart healthcare applications. In: IEEE vehicular technology conference, 2021-April. https://doi.org/10.1109/VTC2021-Spring51267.2021.9448673
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Rana, B., Singh, Y. (2023). Duty—Cycling Based Energy-Efficient Framework for Smart Healthcare System (SHS). In: Anwar, S., Ullah, A., Rocha, Á., Sousa, M.J. (eds) Proceedings of International Conference on Information Technology and Applications. Lecture Notes in Networks and Systems, vol 614. Springer, Singapore. https://doi.org/10.1007/978-981-19-9331-2_49
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DOI: https://doi.org/10.1007/978-981-19-9331-2_49
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