ExPerio — Exploiting periodicity for opportunistic energy-efficient data transmission
ExPerio — Exploiting periodicity for opportunistic energy-efficient data transmission
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ExPerio — 利用周期性进行机会性节能数据传输
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
S. Chakraborty
中科院分区：
文献类型：
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作者：
Philipp H. Kindt;Han Jing;N. Peters;S. Chakraborty
将能耗降至最低是所有身体区域传感器网络的关键设计要求。部署在人体尤其是四肢上的传感器经常沿着不同的位置移动。通常，发射功率设置为足够高的值，以实现衰减最高的星座的可靠传输。对于周期性运动，可以在发送方和接收方之间路径损耗最低的位置进行数据传输，只要该位置能够被可靠地识别。我们提出了一种新颖的框架，可以使用加速度数据和接收到的信号强度来预测该位置。通过了解这些信号之间的相关性，可以执行准确的预测，并且可以节省蓝牙低功耗模块用于传输数据包所消耗的高达 24.7% 的功率，同时仍然实现与使用较高传输功率发送相同的数据包错误率。
Reducing the energy consumption to the minimum is a crucial design requirement for all body area sensor networks. Sensors deployed on the human body, especially at the limbs often move along different positions. Usually, the transmit power is set to a sufficiently high value to achieve reliable transmission for the constellation with highest attenuation. For periodic movements, data transmission can be carried out at the position of the lowest path loss between the sender and the receiver, provided this position can be reliably identified. We propose a novel framework that predicts this position using acceleration data and the received signal strength. By learning a correlation between these signals, accurate predictions can be performed and up to 24.7% of the power spent by a Bluetooth Low Energy module for the transmission of a packet can be saved while still achieving the same packet error rate as with sending using the higher transmit power.