Abstract
Aiming at the problem that the mobile crowdsensing (MCS) system relies on a specific platform with a large user group presupposed, this paper proposes a sensing user diffusion analysis and incentive method based on knowledge graph reasoning. We consider motivating users to participate under the constraint of limited budget so that the platform and users can get the most benefits. In this paper, we focus on socially aware users represented by self-organizing social networks, combine the knowledge graph to establish a knowledge graph for the crowdsensing system, use rules to derive user influence, and optimize user contributions. With the goal of maximizing social welfare, we propose a social awareness reverse auction (SARA) mechanism, in which the total contribution of users is the key to select winners, and the winners are paid based on critical prices. Through experimental simulations, we verify that SARA is close to the optimal social welfare under budget constraints.
Highlights
In recent years, mobile devices with various embedded sensors have been everywhere, and vehicle-mounted and portable sensors have appeared one after another
In the face of multitasking and multiuser, we propose a social awareness incentive mechanism based on greed in order to reduce the computational complexity. e platform selects a group of users to complete the sensing task. e goal is to maximize the social welfare of the system, which can be optimized as the following form: w∗ arg max⎛⎝ Sτi − bi⎞⎠, W∈N i∈W τ∈Γ
An incentive method called social awareness reverse auction (SARA) is proposed, which is a social awareness incentive mechanism of mobile crowdsensing (MCS) system based on reverse auction
Summary
Mobile devices with various embedded sensors (such as smart phones and smart watches) have been everywhere, and vehicle-mounted and portable sensors (such as compass, accelerometer, GSP, and camera) have appeared one after another. Mobile users carry their devices for extensive use in daily life, facilitating the information generation process. Participating in crowdsensing tasks is an expensive process for users. Erefore, in order to stimulate and recruit users who use mobile sensing devices to participate in sensing tasks, it is important and challenging to design an incentive mechanism to achieve sustainable profitability of service providers The crowdsensing system depends on the total user participation level and the individual contribution of each user. erefore, in order to stimulate and recruit users who use mobile sensing devices to participate in sensing tasks, it is important and challenging to design an incentive mechanism to achieve sustainable profitability of service providers
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