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IEEE Transactions on Mobile Computing, 2023
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is increasing every day.
Weilong Wang +5 more
semanticscholar +1 more source
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is increasing every day.
Weilong Wang +5 more
semanticscholar +1 more source
IEEE Transactions on Mobile Computing, 2023
Mobile crowdsourcing has become an efficient paradigm for performing large scale tasks. The incentive mechanism is important for the mobile crowdsourcing system to stimulate participants, and to achieve good service quality.
Jia Xu +5 more
semanticscholar +1 more source
Mobile crowdsourcing has become an efficient paradigm for performing large scale tasks. The incentive mechanism is important for the mobile crowdsourcing system to stimulate participants, and to achieve good service quality.
Jia Xu +5 more
semanticscholar +1 more source
To Save Mobile Crowdsourcing From Cheap-Talk: A Game Theoretic Learning Approach
IEEE Transactions on Mobile Computing, 2023Today mobile crowdsourcing platforms invite users to provide anonymous reviews about service experiences, yet many reviews are found biased to be extremely positive or negative. The existing methods find it difficult to learn from biased reviews to infer
Shugang Hao, Ling-Yu Duan
semanticscholar +1 more source
Eliciting Joint Truthful Answers and Profiles From Strategic Workers in Mobile Crowdsourcing Systems
IEEE Transactions on Mobile Computing, 2023Mobile crowdsourcing has emerged as a promising paradigm that applies the principle of crowdsourcing to perform tasks of mobility requirement. Due to the openness of mobile crowdsourcing, workers may yield low-quality task answers.
Mingyan Xiao +3 more
semanticscholar +1 more source
Anonymous Authentication on Trust in Blockchain-Based Mobile Crowdsourcing
IEEE Internet of Things Journal, 2022Mobile crowdsourcing (MCS) has become an effective data collection method due to its mobility, low cost, and flexibility. However, since centralized MCS confronts severe security and privacy risks in reality, many researchers are devoted to building a ...
Wei Feng, Zheng Yan, L. Yang, Q. Zheng
semanticscholar +1 more source
Expertise-Aware Truth Analysis and Task Allocation in Mobile Crowdsourcing
IEEE Transactions on Mobile Computing, 2021In mobile crowdsourcing, the accuracy of the collected data is usually hard to ensure. Researchers have proposed techniques to identify truth from noisy data by inferring and utilizing the reliability of mobile users, and allocate tasks to users with ...
Xiaomei Zhang +4 more
semanticscholar +1 more source
Context-aware mobile crowdsourcing
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012Ubiquity of internet-connected media-and sensor-equipped portable devices has emerged a range of opportunities for direct involvement of citizens into public decision making, leading to a new participatory format of public administration functioning.
Tamilin, Andrei +4 more
openaire +1 more source
Using Truth Detection to Incentivize Workers in Mobile Crowdsourcing
IEEE Transactions on Mobile Computing, 2022Mobile crowdsourcing platforms often want to incentivize workers to finish tasks with high quality and truthfully report their solutions by providing proper rewards. Most existing incentive mechanisms reward workers based on the comparison among workers’
Chao Huang +3 more
semanticscholar +1 more source
Three-Party Evolutionary Game Model of Stakeholders in Mobile Crowdsourcing
IEEE Transactions on Computational Social Systems, 2022As a new paradigm to solve problems by gathering the intelligence of crowds, mobile crowdsourcing has become one of the hot spots in academic and industrial fields.
Fuxing Li +5 more
semanticscholar +1 more source