With the advanced development of smart devices and network technique, Internet of Things has seen a large number of popular applications, among which, smart agriculture is a good example. The sensor nodes collect some parameters in the greenhouse, and send them to the control center. Then the control center can conduct some operations according to the analysis of the collected parameters. In this paper, we discuss how to efficiently aggregate and collect data with features of privacy protection in smart agricultural system. We propose an effective and scalable framework. The genetic algorithm is used to obtain the optimized data collection route for the agricultural system. The use of unmanned aerial vehicle also greatly improves the communication efficiency of resource‐constrained sensors in the system, which further increases the use time of the entire agricultural system. The experimental analysis shows that our framework has good efficiency and enjoys good scalability.

中文翻译：

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智慧农业中数据聚合的有效框架

随着智能设备和网络技术的不断发展，物联网已经得到了广泛的应用，其中，智能农业就是一个很好的例子。传感器节点在温室中收集一些参数，并将其发送到控制中心。然后，控制中心可以根据收集到的参数进行一些操作。在本文中，我们讨论了如何在智能农业系统中有效地聚合和收集具有隐私保护功能的数据。我们提出了一个有效且可扩展的框架。遗传算法用于获得农业系统的优化数据收集路径。无人机的使用也大大提高了系统中资源受限的传感器的通信效率，这进一步增加了整个农业系统的使用时间。实验分析表明，我们的框架具有良好的效率和良好的可扩展性。