A Service‐Based Method for Multiple Sensor Streams Aggregation in Fog Computing

Abstract

A surge in sensor data volume has exposed the shortcomings of cloud computing, particularly the limitation of network transmission capability and centralized computing resources. The dynamic intervention among sensor streams also brings challenges for IoT applications to derive meaningful information from multiple sensor streams. To handle these issues, this paper proposes a service-based method with fog computing paradigm based on our previous service abstraction, which can capture meaningful events from multiple sensor streams. In our service abstraction, we utilize correlation analysis method to capture events as variations of correlation among sensor streams. Facing inconsistent frequency and shift of correlation, we propose a Dynamic Time Warping- (DTW-) based algorithm to obtain sensor streams’ lag-correlation. For adaptively aggregating related events from different services, we also propose an event routing algorithm to assist the composition of cascaded events through service collaboration. This paper reports the tryout use of our method in Chinese power grid for detecting abnormal situations of power quality. Through a series of experiments based on real sensor data in power grid, we verified that our method can reduce the network transmission and computing resource with high accuracy.

Real Time Enterprise as a Platform of Support Management Systems

“…The issue of precise monitoring is related to the generation of very large amounts of data (Song, et al, 2017). They create the so-called a stream of events that can be processed in real time (Zhang, et al, 2018) that can be analyzed with complex event processing (CEP) solutions detecting in real time situations relevant or critical for the monitored area (Garro, et Processing real-time information from sensors enables continuous monitoring of almost every link in the supply chain, from product design to raw material purchasing, production, transportation, storage, distribution and after-sales service. It also allows for the provision of real-time services (Lai, et al, 2018) or the provision of information on the condition of machines and devices (Nel and Jooste, 2018) for remote access customers.…”