Revisiting Link Quality Metrics for Wireless Sensor Networks

2019 IEEE 5th International Conference on Computer and Communications (ICCC) Pub Date : 2019-12-01 DOI:10.1109/ICCC47050.2019.9064098

Wei Liu, Yu Xia, Jinwei Xu, Shunren Hu, Rong Luo

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引用次数: 2

Abstract

Packet Reception Ratio (PRR), Received Signal Strength Indicator (RSSI) and Link Quality Indicator (LQI) are common metrics for link quality estimation. However, utilization and statistical methods of these metrics are different, so it fails to describe their link quality estimation capabilities systematically and deeply. Some works even came to contradicting conclusions. In this paper, these three metrics are comprehensively evaluated through collecting and analyzing large amounts of experimental data. It is shown that average PRR could be used to distinguish good links from bad links. Standard deviation of PRR could be used to identify moderate links. So, good links, moderate links and bad links are able to be distinguished more effectively and accurately by combining average value and standard deviation of PRR. Both average RSSI and LQI could be used to identify good links. However, they could not distinguish moderate and bad links. Standard deviation of RSSI doesn’t have link quality estimation capability, and so does the standard deviation of LQI within fixed time windows. Unlike them, standard deviation of LQI with fixed number of received packets could be used to identify good links, but still not moderate and bad links.

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重新审视无线传感器网络的链路质量度量

包接收比(PRR)、接收信号强度指标(RSSI)和链路质量指标(LQI)是估计链路质量的常用指标。然而，由于这些指标的使用和统计方法各不相同，无法系统、深入地描述它们的链路质量估计能力。一些研究甚至得出了相互矛盾的结论。本文通过收集和分析大量实验数据，对这三个指标进行综合评价。结果表明，平均PRR可以用来区分好链接和坏链接。PRR的标准差可以用来识别中度关联。因此，结合PRR的平均值和标准差，可以更有效、准确地区分良好链接、中等链接和不良链接。平均RSSI和LQI都可以用来识别良好的链接。然而，他们无法区分中度和不良链接。RSSI的标准差不具有链路质量估计能力，固定时间窗内LQI的标准差也不具有链路质量估计能力。与它们不同的是，固定接收报文数的LQI的标准差可以用来识别良好的链路，但仍然不能识别中等和不良的链路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE 5th International Conference on Computer and Communications (ICCC)

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