User selection utilizing data properties in mobile crowdsensing

Author:

Wang EnORCID,Yang Yongjian,Lou Kaihao

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference43 articles.

1. A crowdsourcing assignment model based on mobile crowd sensing in the internet of things;An;IEEE Internet Things J.,2015

2. CRAWDAD dataset roma/taxi (v. 2014-07-17);Bracciale,2014

3. A cost-effective distributed framework for data collection in cloud-based mobile crowd sensing architectures;Capponi;IEEE Trans. Sustain. Comput.,2017

4. G. Comuejols, M. Fisher, G. Nemhauser, Location of bank accounts to optimize float., Manage. Sci. 1977(23).

5. Flowing with the water: On optimal monitoring of water distribution networks by mobile sensors;Du,2016

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