Results 11 to 20 of about 1,541,720 (255)
IEEE Access, 2019 Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful approach incorporating human wisdom into mobile computations to solve problems while exploiting the advantages of mobility and context-awareness.
Jurairat Phuttharak, Seng W. Loke
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Contract-Based Incentive Mechanism for Mobile Crowdsourcing Networks [PDF]
Algorithms, 2017 Mobile crowdsourcing networks (MCNs) are a promising method of data collecting and processing by leveraging the mobile devices’ sensing and computing capabilities.
Nan Zhao +3 more
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Efficient Mobile Crowdsourcing for Environmental Noise Monitoring
IEEE Access, 2022 Governments and commissions all around the globe have worked on developing policies and rules as well as actions and measures for continuous assessment and remedies for environmental noise pollution.
Abdulaziz S. Alashaikh +1 more
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A Survey on Security, Privacy, and Trust in Mobile Crowdsourcing [PDF]
IEEE Internet of Things Journal, 2018 With the popularity of sensor-rich mobile devices (e.g., smart phones and wearable devices), mobile crowdsourcing (MCS) has emerged as an effective method for data collection and processing. Compared with traditional wireless sensor networking, MCS holds many advantages such as mobility, scalability, cost-efficiency, and human intelligence.
Feng, Wei +6 more
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Dynamic Mobile Crowdsourcing Selection for Electricity Load Forecasting
IEEE Access, 2018 The continuous growth of mobile devices in recent years has created a variety of opportunities for people to utilize the crowdsourcing technique to execute various intelligent computing and processing tasks, e.g., electricity load forecasting.
Lianyong Qi +5 more
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A worker-selection incentive mechanism for optimizing platform-centric mobile crowdsourcing systems
Computer Networks, 2020 With the development of Mobile Crowd Sensing Networks (MCSN), more and more Mobile Crowdsourcing applications emerge. The mobile sensing technologies and theories have become the research hotspot.
Yingjie Wang +2 more
exaly +2 more sources
Evaluating mobile-based data collection for crowdsourcing behavioral research [PDF]
Behavior Research MethodsOnline crowdsourcing platforms such as MTurk and Prolific have revolutionized how researchers recruit human participants. However, since these platforms primarily recruit computer-based respondents, they risk not reaching respondents who may have ...
Dennis T. Esch +2 more
semanticscholar +3 more sources
Guest editorial: special issue on mobile crowdsourcing [PDF]
World Wide Web, 2018 International audienceWe are delighted to present this special issue of World Wide Web on Mobile Crowdsourcing. Recently, with the rapid development of mobile Internet and mobile social networking techniques, the scope of crowd problem-solving systems ...
Bin Guo 0001 +4 more
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Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing [PDF]
, 2022 IEEE With the proliferation of increasingly powerful mobile devices and wireless networks, mobile crowdsourcing has emerged as a novel service paradigm.
Yang, D +13 more
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Applied Sciences, 2023 Social Complex Networks in communication networks are pivotal for comprehending the impact of human-like interactions on information flow and communication efficiency.
Manuel A. López-Rourich +1 more
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