Optimal Selection of Crowdsourcing Workers Balancing Their Utilities and Platform Profit

In a mobile crowdsourcing system (MCS), a platform outsources sensing tasks to numerous mobile worker devices. The collected data are analyzed and the processed information is shared among many other interested users. The platform pays the workers for the sensing data and earns money from the users...

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Veröffentlicht in:	IEEE internet of things journal 2019-10, Vol.6 (5), p.8602-8614
Hauptverfasser:	Sarker, Sujan, Razzaque, Md. Abdur, Hassan, Mohammad Mehedi, Almogren, Ahmad, Fortino, Giancarlo, Zhou, Mengchu
Format:	Artikel
Sprache:	eng
Schlagworte:	Crowdsourcing Detection Electronic devices Greedy algorithms Information services Internet of Things Multiple objective analysis Nonlinear programming Performance evaluation platform profit Polynomials reputation Resource management sensing quality Sensors Smart phones Task analysis Telecommuting Tradeoffs Utilities utility Workers Workload Workloads
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