A Stable and Fair Coalition Formation Scheme in Mobile Crowd Sensing
Pei,Yingying1; Hou,Fen1; Cai,Lin X.2
Source PublicationIEEE International Conference on Communications
AbstractIn most of the existing works about mobile crowd sensing, the service provider collects data from each mobile user separately. However, comparing with the collection of data from individual users, batch trading is more attractive for both service provider and mobile users. On one hand, the service provider prefers to buy a batch of data each time even if it may offer a higher unit price since batch trading can save time and efforts in data collection. On the other hand, batch trading is profitable for mobile users since they can take advantage of volume premium. In this paper, we study how mobile users form a coalition to sell their sensing data together. Based on the concept of majorization, we propose a novel scheme to form a fair and stable coalition. Simulation results show the super performance of the proposed method compared with alternative solutions. In specific, the proposed scheme can improve the achieved utility and fairness by 623.68% and 5.51%, respectively, compared to the scheme with independent sell when the number of users is 90.
URLView the original
Scopus ID2-s2.0-85070228047
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Department of Electrical and Computer Engineering,University of Macau,Macao
2.Department of Electrical and Computer Engineering,Illinois Institute of Technology,United States
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Pei,Yingying,Hou,Fen,Cai,Lin X.. A Stable and Fair Coalition Formation Scheme in Mobile Crowd Sensing[C],2019.
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