Optimal Transport for Mobile Crowd Sensing Participants
| Author | Azmy S.B. |
| Author | Zorba N. |
| Author | Hassanein H.S. |
| Available date | 2020-04-09T12:27:29Z |
| Publication Date | 2019 |
| Publication Name | IEEE Wireless Communications and Networking Conference, WCNC |
| Resource | Scopus |
| ISSN | 15253511 |
| Abstract | Smart cities are becoming more complex and greater volumes of data are required for its efficient operation. Mobile Crowdsensing (MCS) is a paradigm that employs smartphones as instruments to collect data, where the recruitment of participants is based on rewards and incentives. However due to the mobile nature of people, sensing may not be available in a specific area of interest, reducing the quality of the MCS inference of that region. In this paper, we propose a method that utilizes optimal transport so that the MCS administrator could direct participants towards areas with poor quality to improve overall quality. An analysis of optimal transport is presented where the method is evaluated using computer simulations, where it is shown to be efficient for moving participants among spatiotemporal cells. |
| Sponsor | This work was made possible by NPRP grant NPRP 9-185-2-096 from the Qatar National Research Fund (a member of the Qatar Foundation) |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | coverage quality metric data collection internet of things mobile crowdsensing optimal transport sensor networks source quality |
| Type | Conference Paper |
| Volume Number | 2019-April |
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