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An Accelerometer-Assisted Transmission Power Control Solution for Energy-Efficient Communications in WBAN

机译:WBAN中用于节能通信的加速度计辅助发射功率控制解决方案

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Energy efficiency is a key issue in wireless body area networks (WBANs). A number of transmission power control (TPC) schemes have been developed to improve the efficiency of transmission, which is one of the most energy consuming operations in WBAN. To save energy, these schemes only probe the link quality from the received data packets. However, due to large intervals between data packets and fast dynamic on-body link characteristics in WBAN, the obtained link information is usually outdated. In this case, the performance of the current TPC scheme is poor. This paper proposes an accelerometer-assisted TPC (AA-TPC) scheme, which exploits the periodic fluctuations of link qualities to improve the transmission energy efficiency. Consider the relationship between link quality and body movement, AA-TPC makes transmissions at ideal channel points that are identified by using the local accelerometer. We first conduct experiments to investigate the correlation between periodic movements and link quality. Then, we propose an algorithm to locate the time point in each period with the best link quality to transmit packets. The specific transmission power is then determined by the feedback information from the receiver. Finally, we evaluate the energy efficiency of AA-TPC based on a CC2420 platform in both a periodic scenario (without any aperiodic movement to break the periodicity) and a realistic scenario (which has aperiodic movements 20% of the time). The results show that about 26.4% and 18% of total energy consumption can be saved on average in the periodic and realistic scenarios, respectively.
机译:能源效率是无线人体局域网(WBAN)中的关键问题。已经开发了许多传输功率控制(TPC)方案以提高传输效率,这是WBAN中最耗能的操作之一。为了节省能量,这些方案仅从接收到的数据包中探测链路质量。但是,由于数据包之间的间隔较大以及WBAN中的快速动态人体链接特性,通常获取的链接信息已过时。在这种情况下,当前TPC方案的性能很差。本文提出了一种加速度计辅助TPC(AA-TPC)方案,该方案利用链路质量的周期性波动来提高传输能量效率。考虑到链路质量和身体运动之间的关系,AA-TPC在使用本地加速度计识别的理想通道点进行传输。我们首先进行实验,以研究周期运动与链接质量之间的相关性。然后,我们提出一种算法,以最佳链路质量定位每个周期中的时间点以传输数据包。然后通过来自接收器的反馈信息确定特定的发射功率。最后,我们评估基于CC2420平台的AA-TPC的能效,包括周期性情景(无任何非周期性运动来打破周期性)和实际情景(非周期性运动占20%的时间)。结果表明,在周期性和现实情况下,分别可以平均节省总能耗的26.4%和18%。

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