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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Carreras, I. Miorandi, D. Tamilin, A. Ssebaggala, E.R. Conci, N. |
| Copyright Year | 2013 |
| Description | Author affiliation: Univ. of Trento, Trento, Italy (Ssebaggala, E.R.; Conci, N.) || U-Hopper, Trento, Italy (Tamilin, A.) || CREATE-NET, Trento, Italy (Carreras, I.; Miorandi, D.) |
| Abstract | Ubiquity of internet-connected media- and sensor-equipped portable devices is enabling a new class of applications which exploit the power of crowds to perform sensing tasks in the real world. Such paradigm is referred as crowd-sensing, and lies at the intersection of crowd-sourcing and participatory sensing. This has a wide range of potential applications such as direct involvement of citizens into public decision making. In this work we present Matador, a framework to embed context-awareness in the presentation and execution of crowd-sensing tasks. This allows to present the right tasks, to the right users in the right circumstances, and to preserve normal device functioning. We present the design and prototype implementation of the platform, including an energy-efficient context sampling algorithm. We validate the proposed approach through a numerical study and a small pilot, and demonstrate the ability of the proposed system to efficiently deliver crowd-sensing tasks, while minimizing the consumption of mobile device resources. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 212 |
| Ending Page | 217 |
| File Size | 1022056 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467350754 |
| e-ISBN | 9781467350778 |
| e-ISBN | 9781467350761 |
| DOI | 10.1109/PerComW.2013.6529484 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-03-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Mobile communication Global Positioning System Sensors Accuracy Mobile handsets Batteries energy-efficiency Mobile crowd-sensing context-aware systems localization |
| Content Type | Text |
| Resource Type | Article |
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