Duty-Cycling Techniques in IoT: Energy-Efficiency Perspective
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-8248-3_42
Reference20 articles.
1. F. Lepage et al., Collision free-emission and dynamic duty cycle management without performance reduction in IoT wireless multi hop collecting network. IFAC Papers 52(24), 328–333. https://doi.org/10.1016/j.ifacol.2019.12.431
2. H. Haddad, Z. Bouyahia, S.A. Chaudhry, A multiagent geosimulation and IoT-based framework for safety monitoring in complex dynamic spatial environments. Procedia Comput. Sci. 151(2018), 527–534 (2019). https://doi.org/10.1016/j.procs.2019.04.071
3. S. Sreeraj, G.S. Kumar, Performance of IoT protocols under constrained network, a use case based approach, in 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), 2018, pp. 495–498. https://doi.org/10.1109/IC3IoT.2018.8668105
4. S. Sarwar, R. Sirhindi, L. Aslam, G. Mustafa, M.M. Yousaf, S.W.U.Q. Jaffry, Reinforcement learning based adaptive duty cycling in LR-WPANs. IEEE Access 8, 161157–161174 (2020). https://doi.org/10.1109/ACCESS.2020.3021016
5. J. Haimour, O. Abu-Sharkh, Energy efficient sleep/wake-up techniques for IOT: a survey, in 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 2019, pp. 478–484.https://doi.org/10.1109/JEEIT.2019.8717372
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