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首页> 外文期刊>Current Directions in Biomedical Engineering >Synchronization in wireless biomedical-sensor networks with Bluetooth Low Energy
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Synchronization in wireless biomedical-sensor networks with Bluetooth Low Energy

机译:无线生物医学传感器网络与低功耗蓝牙的同步

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Bluetooth Low Energy (BLE) has reduced the energy consumption for sensor nodes drastically. One major reason for this improvement is a non-continuous connection between the nodes. But this causes also a nondeterministic data transmission time. Most synchronization protocols are influenced by this characteristic, with the result of less accuracy. In wireless body sensor networks this accuracy is often of vital importance. Therefore this paper evaluates different synchronization principles customized for BLE.For the evaluation measurements we used two BLE modules connected to one micro controller. This setup allowed us to calculate the error directly for the different principles. First we measured the send-receive time as a reference which influences most synchronization protocols. This time is directly affected by random transmission delays of BLE. Second we used the time difference between receiving and acknowledging a message as principle (A). The last principle (B) can only be used between nodes that use BLE that don’t require a constant connection, because it needs to connect and disconnect the nodes. After a new connection the “connected” events occur in the BLE nodes almost at the same time and can be used for synchronization. The reference measurement showed the worst results. The average delay was 4.76 ms with a standard deviation of 2.32 ms. Principle (A) showed average delays of 7.51 ms, which was almost exactly 1 connection interval in our setup. The standard deviation was 0.41 ms. Principle (B) showed the best results with an average time difference of 39.92 μs and a standard deviation of 14.19 μsThe results showed that with the principles (A) and (B) the synchronization of nodes can be highly improved compared to the reference. In future we will test the principles with synchronization protocols in real sensor nodes also with respect to the processor load.
机译:低功耗蓝牙(BLE)大大降低了传感器节点的能耗。进行此改进的一个主要原因是节点之间的不连续连接。但是,这也导致不确定的数据传输时间。大多数同步协议受此特性的影响,导致准确性降低。在无线人体传感器网络中,这种准确性通常至关重要。因此,本文评估了针对BLE定制的不同同步原理。为了进行评估测量,我们使用了两个BLE模块连接到一个微控制器。这种设置使我们可以直接针对不同原理计算误差。首先,我们将发送和接收时间作为参考,以影响大多数同步协议。 BLE的随机传输延迟直接影响该时间。其次,我们将接收和确认消息之间的时间差用作原则(A)。最后一个原则(B)仅可在不需要恒定连接的使用BLE的节点之间使用,因为它需要连接和断开节点。在建立新连接之后,“连接”事件几乎同时在BLE节点中发生,可用于同步。参考测量显示最差的结果。平均延迟为4.76毫秒,标准偏差为2.32毫秒。原理(A)显示平均延迟为7.51 ms,在我们的设置中几乎恰好是1个连接间隔。标准偏差为0.41ms。原则(B)显示最佳结果,平均时间差为39.92μs,标准差为14.19μs结果表明,与参考相比,使用原则(A)和(B)可以大大提高节点的同步性。将来,我们还将在处理器节点的实际传感器节点中使用同步协议测试这些原理。

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