Abstract :

Worker recruitment stands as a critical challenge in the realm of mobile crowdsourcing (MCS), where the goal is to identify a sufficient and suitable pool of participants for task execution. While existing worker recruitment strategies predominantly concentrate on selecting the most appropriate workers from a vast pool, the specific issue of recruitment in scenarios with insufficient workers, such as in the inception of a new MCS system, has been inadequately addressed. This paper delves into the intricacies of the insufficient participation problem within MCS systems featuring a limited number of workers and proposes a innovative approach utilizing social networks to recruit workers and expand the worker pool. Our solution, named SocialRecruiter, introduces a dynamic incentive mechanism to stimulate workers on the MCS platform to disseminate tasks through their social networks. This, in turn, encourages the invitation of friends to join the MCS platform, subsequently broadening the p