Skip to main navigation Skip to search Skip to main content

Selección de participantes en ambientes CrowdSensing

Translated title of the contribution: Participant selection in CrowdSensing environments
  • Universidad Javeriana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

CrowdSensing is rooted in Participatory Sensing and crowdsourcing and is defined as a paradigm that harnesses the power of the masses and embedded sensors in smart mobile devices to collect data to be used around a specific target [1]. CrowdSensing has been researched and developed by various authors in different contexts, demonstrating its usefulness to support various processes by offering the ability to generate and maximize the usefulness of the information adding contextual information. This paper presents in an integrated manner the concepts around CrowdSensing and identifies the selection of participants as the main challenge of this paradigm. Finally, a strategy is proposed to address this challenge and how was applied to two case studies.

Translated title of the contributionParticipant selection in CrowdSensing environments
Original languageSpanish
Title of host publication2015 10th Colombian Computing Conference, 10CCC 2015
EditorsOscar Gonzalez, Mario Sanchez
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages408-415
Number of pages8
ISBN (Electronic)9781467394642
DOIs
StatePublished - 20 Nov 2015
Event10th Colombian Computing Conference, 10CCC 2015 - Bogota, Colombia
Duration: 21 Sep 201525 Sep 2015

Publication series

Name2015 10th Colombian Computing Conference, 10CCC 2015

Conference

Conference10th Colombian Computing Conference, 10CCC 2015
Country/TerritoryColombia
CityBogota
Period21/09/1525/09/15

Fingerprint

Dive into the research topics of 'Participant selection in CrowdSensing environments'. Together they form a unique fingerprint.

Cite this