Results 191 to 200 of about 1,541,720 (255)

A Triple Real-Time Trajectory Privacy Protection Mechanism Based on Edge Computing and Blockchain in Mobile Crowdsourcing

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, Yingjie Wang, Peiyong Duan, Tianen Liu, Xiangrong Tong, Zhipeng Cai   +5 more
semanticscholar   +1 more source

Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach

IEEE Transactions on Mobile Computing, 2023
Collaborative Mobile Crowdsourcing (CMCS) allows platforms to recruit worker teams to collaboratively execute complex sensing tasks. The efficiency of such collaborations could be influenced by trust relationships among workers.
Zhongwei Zhan, Yingjie Wang, Peiyong Duan, A. Sai, Zhaowei Liu, Chaocan Xiang, Xiangrong Tong, Weilong Wang, Z. Cai   +8 more
semanticscholar   +1 more source

Incentive Mechanism for Mobile Crowdsourcing Using an Optimized Tournament Model [PDF]

IEEE Journal on Selected Areas in Communications, 2017
With the wide adoption of smart mobile devices, there is a rapid development of location-based services. One key feature of supporting a pleasant/excellent service is the access to adequate and comprehensive data, which can be obtained by mobile ...
Lingyang Song, Chunxiao Jiang, Zaher Dawy   +2 more
exaly   +3 more sources

Crowdsourcing for Mobile Data Management

2013 IEEE 14th International Conference on Mobile Data Management, 2013
Crowdsourcing refers to a distributed problem-solving model in which a crowd of undefined size is engaged in the task of solving a complex problem through an open call. This novel problem-solving model found its way into numerous applications on the web for voting, fund-raising, micro-works and wisdom-of-the-crowd scenarios.
Chatzimilioudis, Georgios, Zeinalipour-Yazdi, Constantinos D., Chatzimilioudis, Georgios, Zeinalipour-Yazdi, Constantinos D.   +3 more
openaire   +2 more sources

To Save Mobile Crowdsourcing From Cheap-Talk: A Game Theoretic Learning Approach

IEEE Transactions on Mobile Computing, 2023
Today 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

Workshop on mobile and situated crowdsourcing

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15, 2015
Crowdsourcing beyond the desktop is increasingly attracting interest due to the rapid proliferation of smart phones and other ubiquitous technologies, such as public displays. This workshop seeks to investigate the current state of the art of mobile and situated crowdsourcing by bringing together researchers of this thriving research agenda.
Jorge Gonçalves 0001, Simo Hosio, Vassilis Kostakos, Maja Vukovic, Shin'ichi Konomi   +4 more
openaire   +1 more source

Context-aware mobile crowdsourcing

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
Ubiquity 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, I. Carreras, E. Ssebaggala, A. Opira, Conci, Nicola   +4 more
openaire   +1 more source

Eliciting Joint Truthful Answers and Profiles From Strategic Workers in Mobile Crowdsourcing Systems

IEEE Transactions on Mobile Computing, 2023
Mobile 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, Wenqiang Jin, Chengkai Li, Ming Li   +3 more
semanticscholar   +1 more source

Using Truth Detection to Incentivize Workers in Mobile Crowdsourcing

IEEE Transactions on Mobile Computing, 2022
Mobile 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, Haoran Yu, R. Berry, Jianwei Huang   +3 more
semanticscholar   +1 more source

Anonymous Authentication on Trust in Blockchain-Based Mobile Crowdsourcing

IEEE Internet of Things Journal, 2022
Mobile 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