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The team recruitment of CCS is mainly influenced by the subjective willingness of participants and the objective trust evaluation of the sensing platform; that is, the higher the subjective mutual willingness to work together and the objective mutual trust among participants, the more efficiency with which the CCS tasks will be achieved. However, the existing research lacks comprehensive consideration of mutual willingness and mutual trust among recruited participants. This results in poor QoS. To address this problem, we propose a novel team recruitment method for CCS that jointly considers the willingness and trust to recruit optimal teams. First, we build a graph convolutional network\u2010based willingness\u2010trust network (GCN\u2010WTN) model for CCS to obtain mutual willingness and trust among participants more accurately. Second, we propose a willingness and trust\u2010based team recruitment (WT\u2010TR) method to recruit the optimal teams for CCS. This method introduces the consensus and similarity constraints into the willingness and trust networks to better meet the collaboration needs of CCS. Finally, we implement a recruitment simulation platform for CCS to simulate the team recruitment process and validate the effectiveness of our proposed method. The experimental results show that the teams recruited by the proposed method can significantly improve QoS for CCS.<\/jats:p>","DOI":"10.1155\/2023\/5872359","type":"journal-article","created":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T20:20:15Z","timestamp":1683577215000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Team Recruitment of Collaborative Crowdsensing under Joint Constraints of Willingness and Trust"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6851-8998","authenticated-orcid":false,"given":"Nianyun","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5435-5307","authenticated-orcid":false,"given":"Dianjie","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunyu","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weizhi","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9545-8668","authenticated-orcid":false,"given":"Guijuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,5,8]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1145\/2794400"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2020.3009715"},{"key":"e_1_2_10_3_2","doi-asserted-by":"crossref","unstructured":"GaoY. 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