Experimental datasets of the three-tier fog computing based gateway node for smart home automation applications

Smart home automation application demands efficient energy management to limit the unnecessary power consumption of home appliances while maintaining maximum occupant comfort. Three-tier fog computing-based gateway node at the network edge can provide wireless solutions on real-time remote supervision, aggregated data management with cloud platforms, and autonomous home apparatus controlling to limit unnecessary energy consumption at reduced network traffic and low latency. Historical data need to gather through a series of experimental analyses to investigate the performance of such gateway nodes in various aspects. Such as investigating platform load profiles like current and power consumption measurements, platform resource utilization as CPU and network bandwidth usage, and the response time requirement analysis. Measurements were carried out by deploying the gateway in Intel NUC, and RPi 3B+ platform under three test case scenarios. The corresponding raw data measurement has been recorded and reported in this dataset. @ Dataset Summery: 1. RF Network Performance: Raw data of the received data packet, and RSSI in dBm of the Gateway Node. 2. Current Consumption: Current consumption measurements in ampere (A) of the RPi deployed Gateway Node. 3. Power Consumption: Power Consumption measurements in watts (W) of the RPi and NUC deployed Gateway Node. 4. Historic CPU Temperature: Raw data of the Historical CPU Temperature measurements in Celsius (°C) of the RPi deployed Gateway Node. 5. Historic Network Utilization: Historical Network Bandwidth Utilization measurements in megabyte per seconds (MB/s) of the RPi and NUC Gateway Node. 6. CPU Consumption: Percentage of platform CPU Consumption measurements of the RPi and NUC deployed Gateway Node. 7. Response Time Analysis: ThingSpeak and ThingsSentral cloud Response Time measurements of the RPi and NUC deployed Gateway web requests.

智能家居自动化应用亟需高效的能源管理方案，在保障居住者最大舒适度的前提下，限制家用设备的不必要能耗。部署于网络边缘的基于三层雾计算（fog computing）的网关节点，可提供无线解决方案，实现实时远程监控、与云平台的聚合数据管理以及自主家用设备控制，从而在降低网络流量并实现低延迟的同时减少不必要的能源消耗。为多维度探究此类网关节点的性能，需通过一系列实验分析收集历史数据，具体包括平台负载概况（如电流与功耗测量值）、平台资源利用率（如CPU与网络带宽使用率）以及响应时间需求分析。本次实验将网关节点部署于英特尔NUC（Intel NUC）与树莓派（Raspberry Pi, RPi）3B+平台，并在三种测试用例场景下开展测量工作，本数据集记录并公开了对应的原始测量数据。
数据集概览：
1. 射频（RF）网络性能：网关节点的接收数据包原始数据，以及以分贝毫瓦（dBm）为单位的接收信号强度指示（Received Signal Strength Indicator, RSSI）测量值。
2. 电流消耗：部署于树莓派RPi的网关节点的电流消耗测量值，单位为安培（ampere, A）。
3. 功率消耗：部署于树莓派RPi与英特尔NUC的网关节点的功率消耗测量值，单位为瓦特（watt, W）。
4. 历史CPU温度：部署于树莓派RPi的网关节点的CPU历史温度原始测量数据，单位为摄氏度（Celsius, °C）。
5. 历史网络利用率：树莓派RPi与英特尔NUC网关节点的历史网络带宽利用率测量值，单位为兆字节每秒（megabyte per second, MB/s）。
6. CPU使用率：部署于树莓派RPi与英特尔NUC的网关节点的平台CPU使用率百分比测量值。
7. 响应时间分析：树莓派RPi与英特尔NUC部署的网关节点的Web请求分别对接ThingSpeak与ThingsSentral云平台的响应时间测量值。