Quality-Aware Incentive Mechanism for Mobile Crowdsourcing
Wireless networks(2023)
摘要
Recent years have witnessed the emergence of mobile crowdsourcing (MCS) systems, which leverage the public crowd equipped with various mobile devices for large-scale sensing tasks. In this chapter, we study a critical problem in MCS systems, namely, incentivizing user participation. Different from the existing work, we design two quality-aware incentive mechanisms, and we incorporate a crucial metric, called users’ quality of information (QoI), in the first quality-aware incentive mechanism and consider the preservation of users’ bid privacy in the second quality-aware incentive mechanism for MCS system. Due to various factors (e.g., sensor quality, noise, etc.), the quality of the sensory data contributed by individual users varies significantly. Obtaining high-quality data with little expense is always the goal of a quality-aware incentive mechanism for MCS system. Besides, the data from users usually contains the private information that should not be disclosed. A quality-aware incentive mechanism should consider the preservation of users’ bid privacy. Technically, we design the first quality-aware incentive mechanism based on reverse combinatorial auctions. We investigate both the single-minded and multi-minded combinatorial auction models and design two computationally efficient mechanisms that the one for single-minded models can approximately maximize social welfare and the one for multi-minded models can achieve close-to-optimal social welfare. We design the second quality-aware incentive mechanism based on the single-minded reverse combinatorial auction that preserves the privacy of each workers bid against the other honest-but-curious users. Specifically, we design a private, individual rational, and efficient mechanism that approximately minimizes the platforms’ total payment and satisfies the desirable economic properties of approximate truthfulness and individual rationality.
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关键词
mobile crowdsourcing,incentive,quality-aware
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