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Mobility-Aware Privacy-Preserving Mobile Crowdsourcing [PDF]
Sensors, 2021 The increasing popularity of smartphones and location-based service (LBS) has brought us a new experience of mobile crowdsourcing marked by the characteristics of network-interconnection and information-sharing.
Guoying Qiu +4 more
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Dynamic incentive mechanism in mobile crowdsourcing networks by combining reputation and contract theory [PDF]
International Journal of Distributed Sensor Networks, 2022 By utilizing the mobile terminals’ sensing and computing capabilities, mobile crowdsourcing network is considered to be a promising technology to support the various large-scale sensing applications.
Nan Zhao +3 more
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Toward Collaborative Mobile Crowdsourcing [PDF]
IEEE Internet of Things Magazine, 2021 Mobile Crowdsourcing (MC) is an effective way of engaging large groups of smart devices to perform tasks remotely while exploiting their built-in features. It has drawn great attention in the areas of smart cities and urban computing communities to provide decentralized, fast, and flexible ubiquitous technological services.
Hamrouni, Aymen +3 more
semanticscholar +4 more sources
Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing [PDF]
Sensors, 2023 Mobile crowdsourcing refers to systems where the completion of tasks necessarily requires physical movement of crowdworkers in an on-demand workforce.
Ralf Bruns +3 more
doaj +2 more sources
Task Allocation Model Based on Worker Friend Relationship for Mobile Crowdsourcing [PDF]
Sensors, 2019 With the rapid development of mobile devices, mobile crowdsourcing has become an important research focus. According to the task allocation, scholars have proposed many methods.
Bingxu Zhao +4 more
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A Multi-Objective Video Crowdsourcing Method in Mobile Environment [PDF]
IEEE Access, 2019 With the rapid development of mobile video services, HD and UHD videos are attractive for mobile users due to the realistic visual enjoyment and the accurate representation.
Chao Yan +5 more
doaj +2 more sources
Using Greedy Random Adaptive Procedure to Solve the User Selection Problem in Mobile Crowdsourcing [PDF]
Sensors, 2019 With the rapid development of mobile networks and smart terminals, mobile crowdsourcing has aroused the interest of relevant scholars and industries. In this paper, we propose a new solution to the problem of user selection in mobile crowdsourcing system.
Jian Yang, Xiaojuan Ban, Chunxiao Xing
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Mathematics, 2023 With the rapid development of the Internet of Things and the popularity of numerous sensing devices, Mobile crowdsourcing (MCS) has become a paradigm for collecting sensing data and solving problems.
Hanyun Hao, Jian Yang, Jie Wang
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A Mobile Crowdsourcing Platform:
Maketingu Janaru, 2022 In recent years, more companies are using crowdsourcing for development of new products, but they often fail due to reasons such as an insufficient number of ideas. Under these circumstances, “Min100,” a crowdsourcing platform for mobiles specializing in
Shoo Okada, Hidehiko Nishikawa
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Intelligent recommendation algorithm of mobile application crowdsourcing test based on deep learning [PDF]
Xibei Gongye Daxue Xuebao, 2021 As the functions of mobile applications become more and more complex, the crowdsourcing testing puts higher demands on the professional skills of testers.
CHENG Jing, WANG Wei, SHUAI Zhengyi
doaj +2 more sources