Link quality estimation model for wireless sensor networks under non-perceived packet loss
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Link quality estimation model for wireless sensor networks under non-perceived packet loss
Vol. 32, Issue 4, Pages: 103-111(2011)
作者机构:
1. 南昌航空大学物联网技术研究所
2. 南昌航空大学软件学院
3. 南昌航空大学信息工程学院
作者简介:
基金信息:
DOI:
CLC:TN929.5;TP212.9
Published:2011
稿件说明:
移动端阅览
SHU Jian1, LIU Lin-lan1, FAN You-lei1, et al. Link quality estimation model for wireless sensor networks under non-perceived packet loss[J]. 2011, 32(4): 103-111.
DOI:
SHU Jian1, LIU Lin-lan1, FAN You-lei1, et al. Link quality estimation model for wireless sensor networks under non-perceived packet loss[J]. 2011, 32(4): 103-111.DOI:
Link quality estimation model for wireless sensor networks under non-perceived packet loss
摘要
针对现有链路质量评估方法没有考虑到不完整分组对链路产生的影响
将无线传感器网络的链路分组丢失分为感知分组丢失和无感知分组丢失
分析了无感知分组丢失产生的原因
在对无感知分组丢失进行度量的基础上
提出一种无感知分组丢失下的链路质量评估模型。该模型采用卡尔曼滤波对获取的CCI进行降噪处理
基于Cubic模型、最小二乘法拟合出CCI与无感知分组丢失率的关系模型。实验结果表明
无感知分组丢失下的链路质量评估模型是合理的
通过该模型求得的无感知分组丢失率与实测值接近。
Abstract
For the existing link quality estimation with no consideration of the incomplete packet impact on link quality in wireless sensor networks
the packet loss was divided into two categories-perceived packet loss and non-perceived packet loss.A link quality estimation model under non-perceived packet loss has been proposed on the basis of the analy-sis of the causes for the non-perceived packet loss and the measurement of the non-perceived packet loss.When the model is being built
Kalman filter is introduced to denoise the acquired CCI(chip correlation indicator).The cubic model and the least squares method are employed in the fitting relationship between CCI and non-perceived packet loss ratio.The experiment results show that the link quality estimation model is reasonable
and non-perceived packet loss ra-tio coming from this model is very close to the measured value.
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