Off-the-shelf smart phones have boosted large
scale participatory sensing applications as they are equipped with various
functional sensors, possess powerful computation and communication
capabilities, and proliferate at a breathtaking pace. Yet the low participation
level of smart phone users due to various resource consumptions, such as time
and power, remains a hurdle that prevents the enjoyment brought by sensing
applications. Recently, some researchers have done pioneer works in motivating
users to contribute their resources by designing incentive mechanisms, which
are able to provide certain rewards for participation. However, none of these
works considered smart phone users’ nature of opportunistically occurring in
the area of interest. Specifically, for a general smart phone sensing
application, the platform would distribute tasks to each user on her arrival
and has to make an immediate decision according to the user’s reply. To
accommodate this general setting, we design three online incentive mechanisms,
named TBA, TOIM and TOIMAD, based on online reverse auction. TBA is designed to
pursue platform utility maximization, while TOIM and TOIM-AD achieve the
crucial property of truthfulness. All mechanisms possess the desired properties
of computational efficiency, individual rationality, and profitability.
Besides, they are highly competitive compared to the optimal offline solution.
The extensive simulation results reveal the impact of the key parameters and
show good approximation to the state-of-the-art offline mechanism
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