Crowdsensed QoE for the community - a concept to make QoE assessment accessible
Please always quote using this URN: urn:nbn:de:bvb:20-opus-203748
- In recent years several community testbeds as well as participatory sensing platforms have successfully established themselves to provide open data to everyone interested. Each of them with a specific goal in mind, ranging from collecting radio coverage data up to environmental and radiation data. Such data can be used by the community in their decision making, whether to subscribe to a specific mobile phone service that provides good coverage in an area or in finding a sunny and warm region for the summer holidays. However, the existingIn recent years several community testbeds as well as participatory sensing platforms have successfully established themselves to provide open data to everyone interested. Each of them with a specific goal in mind, ranging from collecting radio coverage data up to environmental and radiation data. Such data can be used by the community in their decision making, whether to subscribe to a specific mobile phone service that provides good coverage in an area or in finding a sunny and warm region for the summer holidays. However, the existing platforms are usually limiting themselves to directly measurable network QoS. If such a crowdsourced data set provides more in-depth derived measures, this would enable an even better decision making. A community-driven crowdsensing platform that derives spatial application-layer user experience from resource-friendly bandwidth estimates would be such a case, video streaming services come to mind as a prime example. In this paper we present a concept for such a system based on an initial prototype that eases the collection of data necessary to determine mobile-specific QoE at large scale. In addition we reason why the simple quality metric proposed here can hold its own.…
Author: | Florian MetzgerORCiD |
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URN: | urn:nbn:de:bvb:20-opus-203748 |
Document Type: | Working Paper |
Faculties: | Fakultät für Mathematik und Informatik / Institut für Informatik |
Language: | English |
Year of Completion: | 2020 |
Pagenumber: | 7 |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
GND Keyword: | Quality of Experience; Crowdsourcing |
Tag: | Crowdsensing; QoE |
Release Date: | 2020/05/06 |
Note: | Originally written in 2017, but never published. |
Licence (German): | CC BY-SA: Creative-Commons-Lizenz: Namensnennung, Weitergabe unter gleichen Bedingungen 4.0 International |