With the rapid growth of connected devices, Internet of Things (IoT) has been gradually adopted in many fields such as industry. The Industrial IoT (IIoT) devices are typically deployed in noisy environments for supporting critical applications, which require flexibility and efficiency of network management, i.e., timely collection and processing of environmental data. Focused on this issue, in this work, we take wireless sensor networks (WSNs) as an instance in IIoT, and propose an efficient algorithm called Trust and Energy-aware based Holistic optimizing Algorithm for Spatial window query (TEHAS), which can improve the efficiency of query processing, reduce the energy consumptions and avoid the loss of critical information. In addition to a theoretical analysis, our experimental results demonstrate that our approach could perform better than most existing algorithms regarding efficiency, communication security and energy consumption.

随着连接设备的快速增长，物联网（IoT）已逐渐应用于工业等多个领域。工业物联网 (IIoT) 设备通常部署在嘈杂的环境中，以支持关键应用程序，这需要网络管理的灵活性和效率，即及时收集和处理环境数据。围绕这个问题，在这项工作中，我们以无线传感器网络 (WSN) 作为 IIoT 中的一个实例，并提出了一种称为基于信任和能量感知的空间窗口查询整体优化算法 (TEHAS) 的高效算法，该算法可以提高查询处理效率，降低能耗，避免关键信息丢失。除了理论分析，