A Budget Feasible Incentive Mechanism for Weighted Coverage Maximization in Mobile Crowdsensing

IEEE Transactions on Mobile Computing

Volumn 16, Issue 9, 2017, Pages 2392-2407

  Zheng, Zhenzhe ^a   Wu, Fan ^a   Gao, Xiaofeng ^a   Zhu, Hongzi ^a   Tang, Shaojie ^b   Chen, Guihai ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

mechanism design; Mobile crowdsensing; weighted coverage maximization

Indexed keywords

APPROXIMATION ALGORITHMS; MACHINE DESIGN; NOISE POLLUTION; OPTIMIZATION; SENSOR NETWORKS;

CONSTANT FACTOR APPROXIMATION; INCENTIVE COMPATIBLE; INCENTIVE MECHANISM; MECHANISM DESIGN; MOBILE CROWDSENSING; OPTIMIZATION PROBLEMS; REGIONS OF INTEREST; STRATEGY-PROOFNESS;

BUDGET CONTROL;

EID: 85029359676     PISSN: 15361233     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMC.2016.2632721     Document Type: Article

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