Name
Abstract | ||
|---|---|---|
Mobile Crowd Sensing has emerged as a new sensing paradigm, efficiently exploiting human intelligence and mobility in conjunction with advanced capabilities and proliferation of mobile devices. In order for MCS applications to reach their full potentials, a number of research challenges should be sufficiently addressed. The aim of this paper is to survey representative mobile crowd sensing applications and frameworks proposed in related research literature, analyze their distinct features and discuss on their relative merits and weaknesses, highlighting also potential solutions, in order to take a step closer to the definition of a unified MCS architectural framework. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IISA.2016.7785385 | 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA) |
Keywords | Field | DocType |
mobile crowd sesning,architectures,challenges,survey | Mobile technology,Data science,Mobile computing,Data mining,Mobile search,Human intelligence,Computer science,Architecture framework,Mobile device,Mobile Web,Mobile telephony | Conference |
ISSN | ISBN | Citations |
2379-3732 | 978-1-5090-3430-7 | 0 |
PageRank | References | Authors |
0.34 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Malamati D. Louta | 1 | 131 | 17.84 |
| Konstantina Mpanti | 2 | 0 | 0.34 |
| George T. Karetsos | 3 | 72 | 17.63 |
| Thomas D. Lagkas | 4 | 64 | 15.08 |