Participants selection for from-scratch mobile crowdsensing via reinforcement learning

Y Hu, J Wang, B Wu, S Helal - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Participant selection is a major research challenge in Mobile Crowdsensing (MCS).
Previous approaches commonly assume that adequately long and fixed periods of …

Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning

Y Hu, J Wang, B Wu, S Helal - 2020 IEEE International Conference on …, 2020 - computer.org
Participant selection is a major research challenge in Mobile Crowdsensing (MCS).
Previous approaches commonly assume that adequately long and fixed periods of …

[PDF][PDF] Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning

Y Hu, J Wang, B Wu, S Helal - staff.itee.uq.edu.au
Participant selection is a major research challenge in Mobile Crowdsensing (MCS).
Previous approaches commonly assume that adequately long and fixed periods of …

[PDF][PDF] Participants Selection for From-Scratch Mobile Crowdsensing Via Reinforcement Learning

Y Hu, J Wang, B Wu, S Helal - 2020 - researchgate.net
• A straightforward solution might be to let new participants move for, say, 1 week without
paying them, or paying some fixed small amount, and then start paying normally when there …

Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning

Y Hu, J Wang, B Wu, S Helal - 18th Annual IEEE …, 2020 - pureportal.coventry.ac.uk
Participant selection is a major research challenge in Mobile Crowdsensing (MCS).
Previous approaches commonly assume that adequately long and fixed periods of …

[PDF][PDF] Participants Selection for From-Scratch Mobile Crowdsensing Via Reinforcement Learning

Y Hu, J Wang, B Wu, S Helal - 2020 - researchgate.net
• A straightforward solution might be to let new participants move for, say, 1 week without
paying them, or paying some fixed small amount, and then start paying normally when there …