链路质量评估方法和装置制造方法及图纸

技术编号:6066131 阅读:279 留言:0更新日期:2012-04-11 18:40
本发明专利技术公开了一种链路质量评估方法和装置,属于网络测试领域。该方法包括:获取链路上预设采样窗口内所有数据包的链路质量标识;根据所述预设采样窗口内所有数据包的链路质量标识,获取所述预设采样窗口内的链路质量偏移率,所述链路质量偏移率为数据包的链路质量标识变化率;根据所述链路质量偏移率与预设阈值,对所述链路质量进行评估。所述装置包括:链路质量标识获取模块、链路质量偏移率获取模块和评估模块,该发明专利技术通过获取预设采样窗口内的链路质量偏移率,并根据该质量偏移率对无线传感网络链路质量进行评估,相较于现有技术的方法,与PRR有更好的相关性,也能更稳定精准的表征链路质量,且无论窗口大小,链路质量偏移率与PRR的相关性均大于LQI均值与PRR的相关性,对链路质量的判断更加准确,能够快速准确的估计传感器网络无线链路的质量状况,具有良好的及时性和有效性。

Link quality evaluation method and device

The invention discloses a method and a device for evaluating link quality, belonging to the field of network testing. The method includes: obtaining the link within the preset sampling window all packet link quality identification; according to the preset sampling window all packet link quality identification, obtain the preset sampling rate within the link quality offset window, the link quality migration rate link quality identifies changes of data packets according to the rate; the link quality deviation rate with the threshold, to evaluate the quality of the link. The device comprises a link quality identification acquisition module, link quality deviation rate acquisition module and evaluation module, the invention by acquiring the preset sampling link quality offset within the window, and according to the quality of migration rate of wireless sensor network link quality assessment method, compared to the existing technology, has a better correlation with PRR. Can be more stable and accurate characterization of the link quality, and regardless of the window size, the correlation of link quality migration rate and PRR were greater than the mean value of LQI and PRR, the link quality is judged to be more accurate, to the quality status of link estimation for wireless sensor networks quickly and accurately, and has good timeliness and effectiveness.

【技术实现步骤摘要】

【技术保护点】
1.一种链路质量评估方法,其特征在于,包括:获取链路上预设采样窗口内所有数据包的链路质量标识;根据所述预设采样窗口内所有数据包的链路质量标识,获取所述预设采样窗口内的链路质量偏移率,所述链路质量偏移率为数据包的链路质量标识变化率;根据所述链路质量偏移率与预设阈值,对所述链路质量进行评估。

【技术特征摘要】

【专利技术属性】
技术研发人员:陈爱钱莉
申请(专利权)人:华为技术有限公司
类型:发明
国别省市:94

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