Seminar 2018-08-14

Optimized On-Demand Data Streaming from Sensor Nodes

Date: 2018-08-14
Time: 11:00-12:00
Speaker: Jonas Traub, Research Associate and PhD candidate, TU Berlin
Title: Optimized On-Demand Data Streaming from Sensor Nodes 


Real-time sensor data enables diverse applications such as smart metering, traffic monitoring, and sport analysis. In the Internet of Things, billions of sensor nodes form a sensor cloud and offer data streams to analysis systems. However, it is impossible to transfer all available data with maximal frequencies to all applications. Therefore, we need to tailor data streams to the demand of applications. We contribute a technique that optimizes communication costs while maintaining the desired accuracy. Our technique schedules reads across huge amounts of sensors based on the data-demands of a huge amount of concurrent queries. We introduce user-defined sampling functions that define the data-demand of queries and facilitate various adaptive sampling techniques, which decrease the amount of transferred data. Moreover, we share sensor reads and data transfers among queries. Our experiments with real-world data show that our approach saves up to 87% in data transmissions. (Open Access:


Jonas is a Research Associate at TU Berlin and a PhD candidate supervised by Volker Markl. His current research interests include data stream processing, sensor data analysis, and data acquisition from sensor nodes. All publications and supplementary material are available on Jonas wrote his master thesis during a year abroad at the Royal Institute of Technology (KTH) and the Swedish Institute of Computer Science (SICS) / RISE in Stockholm under Supervision of Seif Haridi and Volker Markl and advised by Paris Carbone and Asterios Katsifodimos. He graduated with a M.Sc. in computer science in 2015. Prior to that, he received his B.Sc. degree at Baden-Württemberg Cooperative State University (DHBW Stuttgart) and worked several years at IBM in Germany and the USA. Jonas is a participant of Software Campus and an alumnus of Studienstiftung des deutschen Volkes and Deutschlandstipendium. 

Belongs to: Software and Computer Systems
Last changed: Aug 15, 2018