TU Berlin

Database Systems and Information Management GroupPublications

Logo FG DIMA-new  65px

Page Content

to Navigation


Demand-based Sensor Data Gathering with Multi-Query Optimization
Citation key HuelsmannTM20
Author Julius Hülsmann, Jonas Traub, Volker Markl
Pages 2801-2804
Year 2020
Journal Proc. VLDB Endow.
Volume 13
Number 12
Note A recording of the presentation is available here: https://www.youtube.com/watch?v=ctpj-o3b4B4

Presentation slides are available here: https://www.redaktion.tu-berlin.de/fileadmin/fg131/Conferences/Presentations/Huelsmann_VLDB-2020.pdf
Abstract In the Internet of Things, billions of sensors provide data streams to applications. The data are predominately acquired from devices with constrained computational capabilities, often serving multiple queries simultaneously. Sensor nodes, are typically oblivious to the specific needs of applications. The potential requirements of diverse applications force them to push data at a higher rate than required by a specific, currently running application. That is suboptimal due to 1. constraints in the network bandwidth, 2. expenses for transmissions, and 3. limited computational power. However, decreasing data gathering frequency may reduce the applications' accuracy. In this paper, we demonstrate a technique for minimizing the number of network transmissions while maintaining the desired accuracy. The presented algorithm for read- and transmission sharing among queries goes hand-in-hand with state-of-the-art machine learning techniques for adaptive sampling. We 1. implement the technique and deploy it on a sensor node, 2. replay sensor-data from two real-world scenarios, 3. Provide an interface for submitting custom queries, and 4. Present an interactive dashboard. Here, visitors observe live statistics on the read- and transmission savings achieved in real-world use-cases. The dashboard also visualizes optimizations currently performed by the read scheduling procedure and hence conveys real-time insights and a deep understanding of the presented algorithm.
Link to original publication Download Bibtex entry


Quick Access

Schnellnavigation zur Seite über Nummerneingabe