移动人群感知的激励机制与任务分配方法研究

2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC) Pub Date : 2021-07-01 DOI:10.1109/ICNISC54316.2021.00100

Qianrun Chen

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引用次数: 1

摘要

移动人群传感(MCS)是一种计算范式，它招募公民使用他们的智能设备从周围环境收集和贡献传感数据。激励机制和任务分配方法是影响MSC活动能否继续获得传感数据的关键部分。本文从激励机制和任务分配方法设计两方面对2018-2020年的文献进行了综述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Incentive Mechanism and Task Allocation Methods for Mobile Crowd Sensing: A Survey

Mobile crowd sensing (MCS) is a computing paradigm that recruits citizens to collect and contribute sensing data from surroundings using their smart device. The incentive mechanisms and task allocation methods are critical parts that affect whether the MSC campaigns could continue gaining sensing data. In this paper, we survey the literature over the period of 2018–2020 from the state-of-the-art of incentive mechanism and task allocation method design in MCS.

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来源期刊

2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)

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