Lowering the barriers to large-scale mobile crowdsensing

Authors:
Yu Xiao;Pieter Simoens;Padmanabhan Pillai;Kiryong Ha;Mahadev Satyanarayanan
Affiliations:
Carnegie Mellon University and Aalto University;Carnegie Mellon University and Ghent University, iMinds;Intel Labs;Carnegie Mellon University;Carnegie Mellon University
Venue:
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
Year:
2013

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Abstract

Mobile crowdsensing is becoming a vital technique for environment monitoring, infrastructure management, and social computing. However, deploying mobile crowdsensing applications in large-scale environments is not a trivial task. It creates a tremendous burden on application developers as well as mobile users. In this paper we try to reveal the barriers hampering the scale-up of mobile crowdsensing applications, and to offer our initial thoughts on the potential solutions to lowering the barriers.