Lowering the barrier for crowdsensing application development

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Crowdsensing has the potential to support human-drivensensing and data collection at an unprecedented scale. While many organizers of data collection campaigns may have extensive domain knowledge,they do not necessarily have the skills required to develop robust software for crowdsensing. In this paper, we present Mobile Campaign Designer, a tool that simplifies the creation of mobile crowdsensing applications. Using Mobile Campaign Designer, an organizer is able to define parameters about their crowdsensing campaign, and the tool generates the source code and an executable for a tailored mobile application that embodies the current best practices in crowdsensing. An evaluation of the tool shows that users at all levels of technical expertise are capable of creating a crowdsensing application in an average of five minutes, and the generated applications are comparable in quality to existing crowdsensing applications.

Original languageEnglish (US)
Title of host publicationMobile Computing, Applications, and Services - 5th International Conference, MobiCASE 2013, Revised Selected Papers
EditorsGerard Memmi, Ulf Blanke
PublisherSpringer Verlag
Pages1-18
Number of pages18
ISBN (Print)9783319054513
DOIs
StatePublished - 2014
Externally publishedYes
Event5th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2013 - Paris, France
Duration: Nov 7 2013Nov 8 2013

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume130
ISSN (Print)1867-8211

Conference

Conference5th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2013
Country/TerritoryFrance
CityParis
Period11/7/1311/8/13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Keywords

  • Crowdsensing
  • End-user programming
  • Mobile phone sensing
  • Participatory sensing

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