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    PublicationOpen Access
    Optimal power control and scheduling for energy harvesting wireless networked control systems
    (Institute of Electrical and Electronics Engineers (IEEE), 2019) Department of Electrical and Electronics Engineering; Ergen, Sinem Çöleri; Karadağ, Göksu; Faculty Member; Undergraduate Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; 7211; N/A
    In this paper, we introduce RF energy harvesting paradigm into WNCS framework to study the optimal power control, energy harvesting and scheduling problem with the objective of providing maximum level of adaptivity under strict timing and reliability requirements employing the constant rate transmission model. We formulate the problem as a Mixed Integer Linear Programming Problem (MILP). We show the power allocation can be separated from the scheduling and harvesting at optimality. Then, we introduce a heuristic algorithm for the scheduling problem, periodic list scheduling (PLS), inspired from list scheduling of jobs with sequence dependent setup times on identical machines. We then demonstrate via extensive simulations the superiority of the proposed algorithm in terms of closeness to the optimal, adaptivity and runtime.
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    PublicationOpen Access
    Simulation of bulk piezoelectric implant with amplitude modulation-based backscatter communication for implant applications
    (Institute of Electrical and Electronics Engineers (IEEE), 2021) Akhtar M.J., Toymus A.T., Beker L.; Department of Mechanical Engineering; Department of Electrical and Electronics Engineering; Toymus, Alp Timuçin; Akhtar, Muhammad Junaid; Beker, Levent; Faculty Member; Department of Mechanical Engineering; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; N/A; N/A; 308798
    Recently, ultrasound has been used for power transfer and backward data transmission from implantable medical devices. Backward data communication is typically based on the amplitude modulation of the backscattered signal with changing electrical load of the implant. Contrary to its importance, the sensitivity of the backscattered voltage with reference to the electrical load has not been quantitatively determined yet. This work presents the results of transient simulations and shows the increasing trend in echo voltage with the increasing load resistance. Additionally, simulation studies indicate a decreasing sensitivity of echo voltage to load resistance with increasing backing impedance of the implant.