无线宽带网络中传感器与基站最佳分离的实验分析

Z. Aziz, U. Qureshi, F. Shaikh, Nafeesa Bohra, Abdelmajid Khelil, Emad A. Felemban
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引用次数: 3

摘要

在设计用于电子医疗等关键应用的无线体域网络(wban)时,可靠的数据传输非常重要。为了使传感器与基站之间的数据可靠地通信,数据传输技术(星型或多跳)和传输功率起着非常重要的作用。随着传输功率的增大,传输距离增大,数据可以可靠地发送到远端节点。然而,在无线宽带网络中,传输功率的增加总是有限制的。将功率水平保持在某个较低的阈值并增加传感器与基站之间的距离会导致接收功率降低,从而最终降低数据传输。因此,对于恒星数据传输技术来说,需要考虑的是传感器与基站之间的最大距离,以保证数据的可靠传输。wban的可靠性可以通过接收功率、接收信号强度指标、链路质量指标、包错误率、包接收率等参数来分析。本文旨在通过上述参数对无线宽带网络进行可靠性分析,提出采用星型数据传输技术实现传感器/基站分离的最佳方案。该分析是使用TinyOS中称为集合树协议的默认路由协议执行的。我们的研究考虑了传感器在身体不同部位的不同位置,以及传感器与基站之间的不同角度偏移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental analysis for optimal separation between sensor and base station in WBANs
The reliable delivery of data is important in designing Wireless Body Area Networks (WBANs) employed for critical applications such as e-health. In order to communicate the data reliably from the sensors to the base station, the data transmission technique (star or multi-hop) and the transmission power plays a very important role. As transmission power is increased, transmission distance is increased and the data can be sent reliably to far nodes. However, in WBANs, there is always a limit to increase the transmission power. Keeping the power level at some low threshold and increasing the distance between a sensor and the base station results in reduced received power which ultimately degrades the data transmission. Thus, for star data transmission technique, the point to ponder is the maximum separation between a sensor and the base station to transmit the data reliably. The reliability in WBANs can be analyzed through different parameters such as received power, received signal strength indicator, link quality indicator, packet error rate, packet reception rate, etc. This paper aims at performing a reliability analysis for WBAN through the mentioned parameters to suggest an optimal sensor/base station separation using star data transmission technique. This analysis is performed employing the default routing protocol in TinyOS called the Collection Tree Protocol. Our study considers different sensor placements on different parts of the body as well as different angular offsets between sensor and base station.
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