Today, Internet of Things applications are available throughout many different domains (manufacturing, health, cities, homes), enabling a high degree of automation to ease people’s lives. For example, automated heating systems in a smart home can lead to reduced costs and an increased comfort for the residents. In the IoT, situations can be detected through interpretation of data produced by heterogeneous sensors, which typically lead to an invocation of actuators. In such applications, sensor data is usually streamed to a central instance for processing. However, especially in time-critical applications, this is not feasible, since high latency is an issue. To cope with this problem, in this paper, we introduce an approach for decentralized data processing in the IoT. This leads to decreased latency as well as a reduction of costs.

如今，物联网应用程序遍及许多不同领域（制造、健康、城市、家庭），实现高度自动化，以简化人们的生活。例如，智能家居中的自动供暖系统可以降低成本并提高居民的舒适度。在物联网中，可以通过解释异构传感器产生的数据来检测情况，这通常会导致执行器的调用。在此类应用中，传感器数据通常传输到中央实例进行处理。然而，特别是在时间关键的应用程序中，这是不可行的，因为高延迟是一个问题。为了解决这个问题，在本文中，我们介绍了一种物联网中分散数据处理的方法。这会减少延迟并降低成本。