Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Word of Mouth Mobile Crowdsourcing: Increasing Awareness of Physical, Cyber, and Social Interactions
Nanjing University of Posts and Telecommunications.
Nanjing University of Posts and Telecommunications.
Nanjing University of Posts and Telecommunications.
Hosei University.
Show others and affiliations
2017 (English)In: IEEE MultiMedia, E-ISSN 1070-986X, Vol. 24, no 4, 26-37 p.Article in journal (Refereed) Published
Abstract [en]

By fully exploring various sensing capabilities and multiple wireless interfaces of mobile devices and integrating them with human power and intelligence, mobile crowdsourcing (MCS) is emerging as an effective paradigm for large-scale multimedia-related applications. However, most MCS schemes use a direct mode, in which crowdworkers passively or actively select tasks and contribute without interacting and collaborating with each other; such a mode can hamper some time-constrained crowdsourced tasks. This article explores a different approach: MCS based on word of mouth (WoM), in which crowdworkers, apart from executing tasks, exploit their mobile social networks and/or physical encounters to actively recruit other appropriate individuals to work on the task. The authors describe a WoM-based MCS architecture and typical applications, which they divide into Internet-scale and local scale. They then systematically summarize the main technical challenges, including crowdworker recruitment, incentive design, security and privacy, and data quality control, and they compare typical solutions. Finally, from a systems-level viewpoint, they discuss several practical issues that must be resolved. This article is part of a special issue on cybersecurity.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 24, no 4, 26-37 p.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-66580DOI: 10.1109/MMUL.2017.4031317ISI: 000415691200005OAI: oai:DiVA.org:ltu-66580DiVA: diva2:1156898
Note

Validerad;2017;Nivå 2;2017-11-14 (andbra)

Available from: 2017-11-14 Created: 2017-11-14 Last updated: 2017-12-01Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Vasilakos, Athanasios
By organisation
Computer Science
Media and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 5 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf