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Regression-based Transmission Power Control for Green Healthcare

机译:基于回归的绿色医疗保健传输功率控制

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Energy saving is the dire need of resource-constrained wearable healthcare sensors. Classical methods are inappropriate to fulfill the needs of healthcare platform especially, body sensor networks (BSNs). So, to remedy the energy crises issues this paper proposes regression-based Self-Predictive Power Control (SPPC) algorithm by incorporating power levels in association to dynamic wireless channel. Besides, two experimental scenarios; ‘Right Wrist to Chest’ and ‘Right Ankle to Chest’ are adopted, it is examined through extensive simulation results that proposed SPPC has better performance unlike their counterparts such as, APC. Thus, proposed regression-based SPPC is the suitable candidate for the emerging healthcare applications.
机译:节能是资源受限的可穿戴医疗保健传感器的可怕需求。古典方法是不合适的,以满足医疗组织的需求,尤其是身体传感器网络(BSN)。因此,要解决能量危机问题本文提出了通过将功率电平结合到动态无线信道的功率电平提出了基于回归的自我预测功率控制(SPPC)算法。此外,两个实验场景;采用“右侧胸部”和“右脚踝向胸部”,通过广泛的模拟结果检查,该结果提出了SPPC的性能更好,与APC等对应物不同。因此,所提出的基于回归的SPPC是新出现的医疗保健应用的合适候选者。

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