Hao Yixue, Peng Limei, Lu Huimin, Hassan Mohammad Mehedi, Alamri Atif
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Department of Industrial and Information System Engineering, Ajou University, Suwon 443749 , Korea.
Sensors (Basel). 2017 Jul 10;17(7):1602. doi: 10.3390/s17071602.
Body area networks (BANs) are configured with a great number of ultra-low power consumption wearable devices, which constantly monitor physiological signals of the human body and thus realize intelligent monitoring. However, the collection and transfer of human body signals consume energy, and considering the comfort demand of wearable devices, both the size and the capacity of a wearable device's battery are limited. Thus, minimizing the energy consumption of wearable devices and optimizing the BAN energy efficiency is still a challenging problem. Therefore, in this paper, we propose an energy harvesting-based BAN for smart health and discuss an optimal resource allocation scheme to improve BAN energy efficiency. Specifically, firstly, considering energy harvesting in a BAN and the time limits of human body signal transfer, we formulate the energy efficiency optimization problem of time division for wireless energy transfer and wireless information transfer. Secondly, we convert the optimization problem into a convex optimization problem under a linear constraint and propose a closed-form solution to the problem. Finally, simulation results proved that when the size of data acquired by the wearable devices is small, the proportion of energy consumed by the circuit and signal acquisition of the wearable devices is big, and when the size of data acquired by the wearable devices is big, the energy consumed by the signal transfer of the wearable device is decisive.
人体区域网络（BANs）由大量超低功耗可穿戴设备组成，这些设备持续监测人体生理信号，从而实现智能监测。然而，人体信号的采集和传输会消耗能量，并且考虑到可穿戴设备的舒适性需求，其电池的尺寸和容量都受到限制。因此，最小化可穿戴设备的能耗并优化人体区域网络的能源效率仍然是一个具有挑战性的问题。所以，在本文中，我们提出了一种基于能量收集的用于智能健康的人体区域网络，并讨论了一种优化的资源分配方案以提高人体区域网络的能源效率。具体而言，首先，考虑到人体区域网络中的能量收集以及人体信号传输的时间限制，我们制定了用于无线能量传输和无线信息传输的时分能量效率优化问题。其次，我们将该优化问题转化为线性约束下的凸优化问题，并提出了该问题的闭式解。最后，仿真结果表明，当可穿戴设备采集的数据量较小时，可穿戴设备的电路和信号采集所消耗的能量比例较大，而当可穿戴设备采集的数据量较大时，可穿戴设备的信号传输所消耗的能量起决定性作用。
