From Real Data of Wireless Sensor Networks based on TSCH, to a Prediction of Reliability, Power Consumption, and Latency (dataset)

Performance of Wireless Sensor Networks (WSN) based on IEEE 802.15.4 and Time Slotted Channel Hopping (TSCH) has been shown to be mostly predictable in typical real-world operating conditions. This is especially true for performance indicators like reliability, power consumption, and latency. This article provides and describes a database (i.e., a set of data acquired with real devices deployed in a real environment) about measurements on OpenMote B devices, implementing the 6TiSCH protocol, made in different experimental configurations. A post-analysis Python script for calculating the above performance indicators from values stored in the database is additional provided. The results obtained by applying the script to the included database were published in [1], which contains more details than those reported in this short presentation of the dataset. Data and software are useful for two main reasons: on the one hand the dataset can be further processed to obtain new performance indices, so as to support, e.g., new ideas about possible protocol modifications; on the other hand, they constitute a simple yet effective example of measurement technique (based on the ping tool and on the accompanying script), which can be customized at will and reused to analyze the performance of other real TSCH installations.

基于IEEE 802.15.4标准及时隙信道跳变（TSCH）的无线传感器网络（WSN），其性能在典型实际运行环境中已被证明具有较强的可预测性。这一点在可靠性、功耗和延迟等性能指标上尤为显著。本文提供并描述了一个数据库（即通过部署在真实环境中的实体设备采集的数据集），该数据库包含在不同实验配置下，基于OpenMote B设备实现6TiSCH协议的性能测量数据。此外，本文还提供了一个用于后处理分析的Python脚本，可从数据库存储的值中计算上述性能指标。将该脚本应用于所附数据库得到的结果已发表于文献[1]，其中包含的细节比本数据集简介中报告的更为详尽。本数据集及相关软件的价值主要体现在两方面：其一，该数据集可通过进一步处理获取新的性能指标，从而为（例如）协议修改的新思路提供支持；其二，它们构成了一套简洁且有效的测量技术示例（基于ping工具及配套脚本），可根据需求灵活定制，并复用至其他实际TSCH部署场景的性能分析中。