Smart City Gnosys

Smart city article details

Title	A Budget Constraint Incentive Mechanism In Spatial-Temporal Mobile Crowdsensing
ID_Doc	548
Authors	Kong X.; Li P.; Zhang T.; Tu M.; Liu Q.
Year	2019
Published	Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
DOI	http://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2019.00236
Abstract	Mobile crowdsensing is an effective way to collect sensing data about regions of interest. Effective incentive mechanisms are invaluable in mobile crowd sensing, for recruiting a number of mobile users to fulfill coverage requirement in the interested regions. In this paper, we exploit the potential of mobile users by designing a spatial-temporal crowd sensing incentive mechanism for smartphone users. We first use the logistic regression technique to mine user preferences from the user's historical data. Then, we propose a sub-module approximation algorithm to solve the participant recruitment problem, which is proved to be an NP-hard problem. Moreover, we design the winner auction algorithm (WAA) based on the reverse auction mechanism to solve the critical payment allocation problem. Finally, we demonstrate that our mechanism achieves truthfulness, individual rationality, and high computation efficiency through both theoretical analysis and experimental simulation. © 2019 IEEE.
Author Keywords	logistic regression; mechanism design; mobile crowdsensing

Similar Articles

Id	Similarity	Authors	Title	Published
60693	0.908	Yao X.-W.; Xing W.-W.; Qi C.-F.; Li Q.	Utility-Based Dual Pricing Incentive Mechanism For Multi-Stakeholder In Mobile Crowd Sensing	Internet of Things (The Netherlands), 29 (2025)
28553	0.897	Yao X.-W.; Xing W.-W.; Zheng K.-C.; Qi C.-F.; Li X.-Y.; Song Q.	Gtdim: Grid-Based Two-Stage Dynamic Incentive Mechanism For Mobile Crowd Sensing	Pervasive and Mobile Computing, 103 (2024)
6434	0.896	Ogie R.I.	Adopting Incentive Mechanisms For Large-Scale Participation In Mobile Crowdsensing: From Literature Review To A Conceptual Framework	Human-centric Computing and Information Sciences, 6, 1 (2016)
18215	0.889	Chen X.; Zhang L.; Lin B.; Fang Y.	Delay-Aware Incentive Mechanism For Crowdsourcing With Vehicles In Smart Cities	Proceedings - IEEE Global Communications Conference, GLOBECOM (2019)
27660	0.882	Dasari V.S.; Kantarci B.; Pouryazdan M.; Foschini L.; Girolami M.	Game Theory In Mobile Crowdsensing: A Comprehensive Survey	Sensors (Switzerland), 20, 7 (2020)
57451	0.879	Chen X.; Zhang L.; Pang Y.; Lin B.; Fang Y.	Timeliness-Aware Incentive Mechanism For Vehicular Crowdsourcing In Smart Cities	IEEE Transactions on Mobile Computing, 21, 9 (2022)
8320	0.874	Wang J.; Rui L.; Yang Y.; Gao Z.; Qiu X.	An Incentive Mechanism Model For Crowdsensing With Distributed Storage In Smart Cities	Computers, Materials and Continua, 76, 2 (2023)
35131	0.868	Liu W.; Gao X.	Leveraging Social Networks To Enhance Effective Coverage For Mobile Crowdsensing	Proceedings - 2020 IEEE 13th International Conference on Web Services, ICWS 2020 (2020)
31074	0.866	Xu, SS; Chen, XL; Pi, XD; Joe-Wong, C; Zhang, P; Noh, HY	Incentivizing Large-Scale Vehicular Crowdsensing System For Smart City Applications	SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2019, 10970 (2019)
9509	0.865	Miyakawa Y.; Miyata S.; Yamazaki T.; Kamioka E.	Analyzing Non-Selection Rates In User Selection Mechanisms For Sustainable Participatory Sensing Systems	Nonlinear Theory and its Applications, IEICE, 16, 1 (2025)