Abstract
Mobile crowdsensing (MCS) network means completing large-scale and complex sensing tasks in virtue of the mobile devices of ordinary users. Therefore, sufficient user participation plays a basic role in MCS. On the basis of studying and analyzing the strategy of user participation incentive mechanism, this paper proposes the user threshold-based cognition incentive strategy against the shortcomings of existing incentive strategies, such as task processing efficiency and budget control. The user threshold and the budget of processing subtasks are set at the very beginning. The platform selects the user set with the lowest threshold, and the best user for processing tasks according to users’ budget. The incentive cost of the corresponding users is calculated based on the user threshold at last. In conclusion, through the experiment validation and comparison with the existing user participation incentive mechanism, it was found that the user threshold-based incentive strategy is advantageous in improving the proportion of task completion and reducing the platform’s budget cost.
Highlights
With the development of wireless communication and sensor technology, the communication functions of smart devices, wearable devices (Google glasses, Apple watch, etc.), and vehicle electronic devices (GPS, OBD-II, etc.) are becoming more powerful than ever
As a new cognitive method, Mobile crowdsensing (MCS) can accomplish many largescale and complex sensing tasks by using various mobile terminal devices held by users through working with ordinary users and can be applied to many different fields through cooperating with users
As a medium between ordinary users and task publishers, the cognitive platform selects interested users to make paid cognition of tasks published by task publishers
Summary
With the development of wireless communication and sensor technology, the communication functions of smart devices (smart phones, iPhone, Huawei, etc.), wearable devices (Google glasses, Apple watch, etc.), and vehicle electronic devices (GPS, OBD-II, etc.) are becoming more powerful than ever. The corresponding participation threshold and a budget for task cognition will be generated when the user receives a subtask and reported to the cognitive platform. 2. MCS Network e MCS network refers to the collaboration, either consciously or unconsciously, through the mobile Internet by taking the mobile devices of ordinary users as the basic cognitive units so as to distribute sensing tasks, collect sensing data, and complete large-scale and complex social sensing tasks. E cognitive platform needs to process and analyze the sensing data uploaded by mobile users and pays the corresponding rewards to cognitive users according to the incentive mechanism It should take effective incentive mechanism to attract the participation of more users. e cognitive platform needs to process and analyze the sensing data uploaded by mobile users and pays the corresponding rewards to cognitive users according to the incentive mechanism
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