Test Data of the Wireless Sensor Network for Express Diagnostics a State of Plant Based on the Chlorophyll Fluorescence Induction Effect

This dataset contains test results from a wireless sensor network developed by the V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine. The WSN is designed for express diagnostics of state of plant based on the chlorophyll fluorescence induction effect. The network operates on the ZigBee protocol stack (IEEE 802.15.4 standard) in the 2.4 GHz frequency band. WSN includes low-power wireless nodes with adjustable transmission power (0 to -5 dBm) and receiver sensitivity of -95 dBm. The nodes are based on the wireless microcontroller NXP JN5168 with a 32-bit RISC processor. The system supports up to 100 wireless sensors in a single network and includes one coordinator and four sensor nodes. Each sensor has its own unique MAC address. Field Experiment. A full-scale field experiment was conducted in a cherry orchard to test the performance of the WSN under real-world conditions. The experiment consisted of five stages, with sensor clusters deployed at various distances and configurations. The testing procedure included equipment checks, sensor placement, measurement parameter configuration, and validation of data transmission. Testing Procedure.1. Preparation. Powering on the coordinator and sensors. Battery level check. 2. Measurement. Placing sensors on tree leaves. Measuring sensor height and distance to coordinator. Ensuring all sensors are connected. Setting CFI measurement parameters. Starting data collection. Verifying data storage and transmission. To evaluate the quality of communication depending on the distance between the sensors (identified as AD, F9, E3, FA) and the coordinator, testing was conducted in clusters at various distances over five stages. Stage 1. Sensors: AD, F9. Distance to coordinator: 20 m. Sensor height: 2 m. Sensor spacing: 2 m. Self-organization time: 6 s. Measurement duration: 4 minutes. Stage 2. Sensors: AD, F9. Distance: 60 m. Sensor height: 1.5 m. Sensor spacing: 1 m.Self-organization time: 6.8 s. Measurement duration: 4 minutes. Stage 3. Sensors: AD, F9. Distance: 40 m. Sensor height: 1.5 m. Sensor spacing: 2 m. Self-organization time: 6.75 s. Measurement duration: 4 minutes. Stage 4. Sensors: AD, F9, E3. Distance: 30 m. Sensor height: 2 m. Sensor spacing: 3 m. Self-organization time: 6 s. Measurement duration: 4 minutes. Stage 5. Sensors: AD, F9, E3, FA. Distance: 30 m. Sensor height: 2 m. Sensor spacing: 3 m. Self-organization time: 6 s. Measurement duration: 4 minutes. Environmental Parameters Recorded: Air temperature, Air humidity, Wind speed (based on meteorological data) Total Measurements: 91 measurements were collected from all wireless sensor nodes during the five test stages.本数据集包含乌克兰国家科学院弗拉基米尔·M·格鲁什科夫控制论研究所开发的无线传感器网络（Wireless Sensor Network, WSN）测试结果。该无线传感器网络旨在基于叶绿素荧光诱导效应（chlorophyll fluorescence induction effect）实现植物状态的快速诊断。网络工作于2.4 GHz频段，采用ZigBee协议栈（ZigBee protocol stack，符合IEEE 802.15.4标准）。WSN包含低功耗无线节点，其发射功率可调（范围0至-5 dBm），接收灵敏度为-95 dBm。节点基于搭载32位RISC处理器的NXP JN5168无线微控制器构建。该系统单网络最多可支持100个无线传感器，包含1个协调器与4个传感器节点，每个传感器均拥有唯一的媒体访问控制地址（Media Access Control Address，MAC地址）。 野外试验 为验证该无线传感器网络在真实场景下的性能，团队在樱桃园中开展了全尺寸野外试验。试验共分为5个阶段，传感器集群以不同距离与配置进行部署。测试流程涵盖设备检查、传感器布设、测量参数配置及数据传输验证。 测试流程 1. 准备阶段：为协调器与传感器上电，检查电池电量。 2. 测量阶段：将传感器安装于树叶表面，测量传感器高度及其与协调器的间距，确认所有传感器已接入网络，设置叶绿素荧光诱导（chlorophyll fluorescence induction, CFI）测量参数，启动数据采集，验证数据存储与传输功能。 为评估传感器（标识为AD、F9、E3、FA）与协调器之间的距离对通信质量的影响，团队分5个阶段以不同距离部署集群开展测试： 阶段1：传感器节点：AD、F9；与协调器距离：20 m；传感器高度：2 m；传感器间距：2 m；自组织时间：6 s；测量时长：4分钟。 阶段2：传感器节点：AD、F9；与协调器距离：60 m；传感器高度：1.5 m；传感器间距：1 m；自组织时间：6.8 s；测量时长：4分钟。 阶段3：传感器节点：AD、F9；与协调器距离：40 m；传感器高度：1.5 m；传感器间距：2 m；自组织时间：6.75 s；测量时长：4分钟。 阶段4：传感器节点：AD、F9、E3；与协调器距离：30 m；传感器高度：2 m；传感器间距：3 m；自组织时间：6 s；测量时长：4分钟。 阶段5：传感器节点：AD、F9、E3、FA；与协调器距离：30 m；传感器高度：2 m；传感器间距：3 m；自组织时间：6 s；测量时长：4分钟。 记录的环境参数 空气温度、空气湿度、风速（基于气象观测数据）。 总测量数据 在5个测试阶段中，所有无线传感器节点共采集得到91组有效测量数据。