Transmission Performance Guaranteed Task Distribution Strategy in Mobile Crowdsensing

Mobile CrowdSensing (MCS) aims to accomplish task requesters sensing tasks by recruiting quantities of workers. Thus, it is crucial to match and distribute sensing tasks to workers efficiently. We consider the influence of transmission outage probability to obtain the best matches and maximize overall social welfare. The workers cannot receive sensing tasks if the outage probability is large, in this case, the social welfare will be smaller. Thus, we maximize overall social welfare via four steps: winner selecting, matching, transmitting and pricing, which is developed as maximize social welfare (MSW) mechanism. Experiment results show that compared with benchmark algorithms, our mechanism transmit sensing tasks to far workers with a lower outage probability and achieve larger social welfare. Furthermore, outage probability is decreased by 19% and overall social welfare created by accomplishing sensing tasks is improved by 15%.