Abstract: Crowdsourcing service has become a mainstream service computing paradigm in various fields. In crowdsourcing service, how to select appropriate mobile users and form a team for efficient sensing is a challenge issue. To address this problem, most of previous works focus on the team formation with the aim of minimizing the communication cost. Unfortunately, this type of team formation cannot cope with all crowdsourcing applications. Therefore, this paper presents a fairness maximization aware team formation scheme and the corresponding algorithm for task crowdsourcing. A real-world social network was utilized to verify the team formation scheme and task crowdsourcing algorithm, the results show that our proposed approach is effective and has practical application value in crowdsourcing services.