Title
Distributed Algorithms to Compute Walrasian Equilibrium in Mobile Crowdsensing.
Abstract
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 since no one can dominate the process, with the optimal solution being characterized by the Walrasian...
Year
DOI
Venue
2017
10.1109/TIE.2016.2645138
IEEE Transactions on Industrial Electronics
Keywords
Field
DocType
Mobile communication,Sensors,Resource management,Pricing,Algorithm design and analysis,Distributed algorithms,Optimization
Resource management,Mathematical optimization,Algorithm design,Simulation,Control engineering,Distributed algorithm,Engineering,General equilibrium theory,Supply and demand,Private information retrieval,Mobile telephony,Cloud computing
Journal
Volume
Issue
ISSN
64
5
0278-0046
Citations 
PageRank 
References 
29
0.95
23
Authors
5
Name
Order
Citations
PageRank
Xiaoming Duan1392.47
Chengcheng Zhao2789.78
Shibo He3149478.37
Peng Cheng413111.86
Junshan Zhang52905220.99