| Item Type |
Journal paper
|
| Abstract |
Smartphones are a key enabling technology in the Internet of Things (IoT) for gathering crowd-sensed data. However, collecting crowd-sensed data for research is not simple. Issues related to device heterogeneity, security, and privacy have prevented the rise of crowd-sensing platforms for scientific data collection. For this reason, we implemented VIVO, an open framework for gathering crowd-sensed Big Data for IoT services, where security and privacy are managed within the framework. VIVO introduces the enrolled crowd-sensing model, which allows the deployment of multiple simultaneous experiments on the mobile phones of volunteers. The collected data can be accessed both at the end of the experiment, as in traditional testbeds, as well as in real-time, as required by many Big Data applications. We present here the VIVO architecture, highlighting its advantages over existing solutions, and four relevant real-world applications running on top of VIVO. |
| Authors |
Luceri, Luca; Cardoso, Felipe; Papandrea, Michaela; Giordano, Silvia; Buwaya, Julia; Kundig, Stéphane; Angelopoulos, Constantinos Marios; Rolim, José; Zhao, Zhongliang; Carrera, Jose Luis; Braun, Torsten; Tossou, Aristide C.Y.; Dimitrakakis, Christos & Mitrokotsa, Aikaterini |
| Journal or Publication Title |
Pervasive and Mobile Computing |
| Language |
English |
| Keywords |
Mobile crowd-sensing, Internet of Things, Big data. |
| Subjects |
computer science |
| HSG Classification |
contribution to scientific community |
| Refereed |
Yes |
| Date |
21 July 2018 |
| Publisher |
Elsevier |
| Volume |
49 |
| Page Range |
126-138 |
| Number of Pages |
13 |
| ISSN |
15741192 |
| Publisher DOI |
https://doi.org/10.1016/j.pmcj.2018.07.003 |
| Official URL |
https://www.sciencedirect.com/science/article/pii/... |
| Depositing User |
Eriane Breu
|
| Date Deposited |
02 Apr 2021 19:21 |
| Last Modified |
20 Jul 2022 17:45 |
| URI: |
https://www.alexandria.unisg.ch/publications/262924 |
VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things.
![[img]](http://www.alexandria.unisg.ch/style/images/fileicons/oa_orange.png)
