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Optimising data diffusion while reducing local resources consumption in Opportunistic Mobile Crowdsensing

  • Published:2020-09 Issue: Volume:67 Page:101201
  • ISSN:1574-1192
  • Container-title:Pervasive and Mobile Computing
  • language:en
  • Short-container-title:Pervasive and Mobile Computing

Author:

Hernández-Orallo EnriqueORCID,Borrego CarlosORCID,Manzoni Pietro,Marquez-Barja Johann M.,Cano Juan Carlos,Calafate Carlos T.

Funder

Ministerio de Ciencia, Innovación y Universidades, Spain

framework of the European Union’s Horizon 2020 project 5G-CARMEN

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference57 articles.

1. A survey of mobile phone sensing;Lane;IEEE Commun. Mag.,2010

2. A survey on smartphone-based crowdsensing solutions;Zamora;Mob. Inf. Syst.,2016

3. A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities;Capponi;IEEE Commun. Surv. Tutor.,2019

4. Remote cloud or local crowd: Communicating and sharing the crowdsensing data;Song,2015

5. Opportunistic mobile crowdsensing for gathering mobility information: lessons learned;Rodrigues,2016

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