1 research outputs found
Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks
Wireless power transfer (WPT) is a promising technology to prolong the
lifetime of the sensors and communication devices, i.e., workers, in completing
crowdsourcing tasks by providing continuous and cost-effective energy supplies.
In this paper, we propose a wireless powered spatial crowdsourcing framework
which consists of two mutually dependent phases: task allocation phase and data
crowdsourcing phase. In the task allocation phase, we propose a Stackelberg
game based mechanism for the spatial crowdsourcing platform to efficiently
allocate spatial tasks and wireless charging power to each worker. In the data
crowdsourcing phase, the workers may have an incentive to misreport its real
working location to improve its utility, which causes adverse effects to the
spatial crowdsourcing platform. To address this issue, we present three
strategyproof deployment mechanisms for the spatial crowdsourcing platform to
place a mobile base station, e.g., vehicle or robot, which is responsible for
transferring the wireless power and collecting the crowdsourced data. As the
benchmark, we first apply the classical median mechanism and evaluate its
worst-case performance. Then, we design a conventional strategyproof deployment
mechanism to improve the expected utility of the spatial crowdsourcing platform
under the condition that the workers' locations follow a known geographical
distribution. For a more general case with only the historical location data
available, we propose a deep learning based strategyproof deployment mechanism
to maximize the spatial crowdsourcing platform's utility. Extensive
experimental results based on synthetic and real-world datasets reveal the
effectiveness of the proposed framework in allocating tasks and charging power
to workers while avoiding the dishonest worker's manipulation.Comment: 14 pages. arXiv admin note: substantial text overlap with
arXiv:1907.0892