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与时隙跳频（Time Slotted Channel Hopping, TSCH）的无线传感器网络（Wireless Sensor Networks, WSN），其性能在典型真实运行环境中大多具备可预测性，这一点在可靠性、功耗及时延等性能指标上尤为显著。本文提供并详述了一款数据集：该数据集由部署于真实环境中的实体设备采集所得，针对采用6TiSCH协议的OpenMote B设备的测量结果，且涵盖多种实验配置场景。此外还附带了一款Python后分析脚本，可基于数据库中存储的数值计算上述性能指标。将该脚本应用于本数据集附带的数据库所得到的研究成果，已发表于文献[1]，该文献所载细节较本数据集的简要介绍更为丰富。本数据集与配套软件的价值主要体现在两大方面：其一，该数据集可经进一步处理以衍生出全新的性能指标，从而为诸如协议改进类的创新思路提供支撑；其二，它们构成了一套简洁却高效的测量技术示例（基于ping工具与配套脚本），可按需自定义并复用，用于分析其他真实TSCH部署场景的网络性能。