Distributed Algorithms to Compute Walrasian Equilibrium in Mobile Crowdsensing

In this paper, we consider joint pricing and task allocation in a unified mobile crowdsensing system, where all task initiators and mobile users are viewed as peers. From an exchange market point of view, the pricing and task allocation in such a unified system depend only on the supply and demand s...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 64; H. 5; S. 4048 - 4057
Hauptverfasser:	Duan, Xiaoming, Zhao, Chengcheng, He, Shibo, Cheng, Peng, Zhang, Junshan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Cloud computing Computer simulation Distributed algorithms Economic models Equilibrium Initiators Maximization Mobile communication Mobile crowdsensing (MCS) Optimization Pricing Pricing policies Resource management Sensors social welfare Supply & demand Walrasian equilibrium
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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