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MOBIHOC
2015
ACM

Distributed Time-Sensitive Task Selection in Mobile Crowdsensing

3 years 6 months ago
Distributed Time-Sensitive Task Selection in Mobile Crowdsensing
With the rich set of embedded sensors installed in smartphones and the large number of mobile users, we witness the emergence of many innovative commercial mobile crowdsensing applications that combine the power of mobile technology with crowdsourcing to deliver time-sensitive and locationdependent information to their customers. Motivated by these real-world applications, we consider the task selection problem for heterogeneous users with different initial locations, movement costs, movement speeds, and reputation levels. Computing the social surplus maximization task allocation turns out to be an NP-hard problem. Hence we focus on the distributed case, and propose an asynchronous and distributed task selection (ADTS) algorithm to help the users plan their task selections on their own. We prove the convergence of the algorithm, and further characterize the computation time for users’ updates in the algorithm. Simulation results suggest that the ADTS scheme achieves the highest Jai...
Man Hon Cheung, Richard Southwell, Fen Hou, Jianwe
Added 14 Apr 2016
Updated 14 Apr 2016
Type Journal
Year 2015
Where MOBIHOC
Authors Man Hon Cheung, Richard Southwell, Fen Hou, Jianwei Huang
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