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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Energy-Efficient ZigBee-Based Wireless Sensor Network for Track Bicycle Performance Monitoring
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Energy-Efficient ZigBee-Based Wireless Sensor Network for Track Bicycle Performance Monitoring

机译：基于节能ZigBee的无线传感器网络用于监测自行车性能

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摘要

In a wireless sensor network (WSN), saving power is a vital requirement. In this paper, a simple point-to-point bike WSN was considered. The data of bike parameters, speed and cadence, were monitored and transmitted via a wireless communication based on the ZigBee protocol. Since the bike parameters are monitored and transmitted on every bike wheel rotation, this means the sensor node does not sleep for a long time, causing power consumption to rise. Therefore, a newly proposed algorithm, known as the Redundancy and Converged Data (RCD) algorithm, was implemented for this application to put the sensor node into sleep mode while maintaining the performance measurements. This is achieved by minimizing the data packets transmitted as much as possible and fusing the data of speed and cadence by utilizing the correlation measurements between them to minimize the number of sensor nodes in the network to one node, which results in reduced power consumption, cost, and size, in addition to simpler hardware implementation. Execution of the proposed RCD algorithm shows that this approach can reduce the current consumption to 1.69 mA, and save 95% of the sensor node energy. Also, the comparison results with different wireless standard technologies demonstrate minimal current consumption in the sensor node.
机译：在无线传感器网络（WSN）中，节电是至关重要的要求。在本文中，考虑了一种简单的点对点自行车WSN。自行车参数，速度和节奏的数据通过基于ZigBee协议的无线通信进行监控和传输。由于在每次自行车车轮旋转时都会监视并传递自行车参数，因此这意味着传感器节点不会长时间休眠，从而导致功耗增加。因此，针对此应用程序实施了一种新提出的算法，称为冗余和聚合数据（RCD）算法，以在保持性能测量的同时将传感器节点置于睡眠模式。这是通过以下方法来实现的：将传输的数据包尽可能地减少到最小，并利用它们之间的相关性度量将速度和节奏的数据融合在一起，以将网络中传感器节点的数量减少到一个节点，从而降低功耗和成本以及大小，以及更简单的硬件实现。所提出的RCD算法的执行表明，该方法可以将电流消耗降低至1.69 mA，并节省95％的传感器节点能量。同样，与不同无线标准技术的比较结果表明传感器节点中的电流消耗最小。

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