Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities

May 22, 2018 Β· Declared Dead Β· πŸ› IEEE Internet of Things Journal

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Authors Jiangtao Wang, Leye Wang, Yasha Wang, Daqing Zhang, Linghe Kong arXiv ID 1805.08418 Category cs.HC: Human-Computer Interaction Citations 116 Venue IEEE Internet of Things Journal Last Checked 4 months ago
Abstract
Mobile Crowd Sensing (MCS) is the special case of crowdsourcing, which leverages the smartphones with various embedded sensors and user's mobility to sense diverse phenomenon in a city. Task allocation is a fundamental research issue in MCS, which is crucial for the efficiency and effectiveness of MCS applications. In this article, we specifically focus on the task allocation in MCS systems. We first present the unique features of MCS allocation compared to generic crowdsourcing, and then provide a comprehensive review for diversifying problem formulation and allocation algorithms together with future research opportunities.
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