Publikation

Crowdsensing under recent mobile platform background service restrictions: a practical approach

Oliver Petter, Marco Hirsch, Eshan Mushtaq, Peter Hevesi, Paul Lukowicz

In: UbiComp/ISWC '19 Adjunct Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2019) September 9-14 London United Kingdom ACM 2019.

Abstrakt

Crowdsensing applications are a popular and common research tool, because they allow volunteering participants to provide valuable data via their mobile phones with minimal effort. In most scenarios, it is an important goal to gather data in a reliable and continuous way, while the app runs in the background to avoid disturbing the user. However, in recent versions, Android as well as iOS severely restrict the functionality of an app when it does not have the authorization of a foreground process. In this work, we present a structured overview of the technical state of background service restrictions under iOS (12) and Android (9). We demonstrate a practical approach for working with these restrictions by utilizing the respective operating system's location provider solution.

Weitere Links

2019-07_Petter_Background_Service_Restrictions.pdf (pdf, 882 KB)

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence