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

Jiangtao Wang; Leye Wang; Yasha Wang; Daqing Zhang; Linghe Kong

doi:10.1109/JIOT.2018.2864341

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

Jiangtao Wang, Leye Wang, Yasha Wang, Daqing Zhang, Linghe Kong

Research output: Contribution to journal › Review article › peer-review

121 Citations (Scopus)

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 paper, 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.

Original language	English
Pages (from-to)	3747 - 3757
Number of pages	11
Journal	IEEE Internet of Things Journal
Volume	5
Issue number	5
Early online date	8 Aug 2018
DOIs	https://doi.org/10.1109/JIOT.2018.2864341
Publication status	Published - 1 Oct 2018
Externally published	Yes

Keywords

Crowdsourcing
mobile crowd sensing (MCS)
task allocation

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10.1109/JIOT.2018.2864341

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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 paper, 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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AU - Kong, Linghe

PY - 2018/10/1

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AB - 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 paper, 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.

KW - Crowdsourcing

KW - mobile crowd sensing (MCS)

KW - task allocation

U2 - 10.1109/JIOT.2018.2864341

DO - 10.1109/JIOT.2018.2864341

M3 - Review article

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

Abstract

Keywords

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