Snap'N'Go: An Extendable Framework for Evaluating Mechanisms in Spatial Crowdsourcing

Author:

Kobayashi Sofia1ORCID,Mao Yuehe1ORCID,Bassem Christine2ORCID,Delcourt Catherine2ORCID

Affiliation:

1. WellesleyCollege'24, UnitedStates

2. ComputerScience, WellesleyCollege, UnitedStates

Publisher

ACM

Reference10 articles.

1. G. Bajaj and P. Singh . 2018 . Load-Balanced Task Allocation for Improved System Lifetime in Mobile Crowdsensing. In 2018 19th IEEE International Conference on Mobile Data Management (MDM). 227–232 . G. Bajaj and P. Singh. 2018. Load-Balanced Task Allocation for Improved System Lifetime in Mobile Crowdsensing. In 2018 19th IEEE International Conference on Mobile Data Management (MDM). 227–232.

2. Raghu  K Ganti , Fan Ye , and Hui Lei . 2011. Mobile crowdsensing: current state and future challenges . IEEE communications Magazine 49, 11 ( 2011 ), 32–39. Raghu K Ganti, Fan Ye, and Hui Lei. 2011. Mobile crowdsensing: current state and future challenges. IEEE communications Magazine 49, 11 (2011), 32–39.

3. Michael  F Goodchild . 2007. Citizens as voluntary sensors: spatial data infrastructure in the world of Web 2.0 . International journal of spatial data infrastructures research 2, 2 ( 2007 ), 24–32. Michael F Goodchild. 2007. Citizens as voluntary sensors: spatial data infrastructure in the world of Web 2.0. International journal of spatial data infrastructures research 2, 2 (2007), 24–32.

4. Piggyback Prototyping

5. Groupware and social dynamics

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