Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues [PDF]
Sensors, 2023 With the increasing efforts to utilize information and communication technologies (ICT) in disaster management, the massive amount of heterogeneous data that is generated through ubiquitous sensors paves the way for fast and informed decisions in the ...
Didem Cicek, Burak Kantarci
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Incentivizing for Truth Discovery in Edge-assisted Large-scale Mobile Crowdsensing [PDF]
Sensors, 2020 The recent development of human-carried mobile devices has promoted the great development of mobile crowdsensing systems. Most existing mobile crowdsensing systems depend on the crowdsensing service of the deep cloud.
Jia Xu +4 more
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How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing [PDF]
Sensors, 2021 The possibility of understanding the dynamics of human mobility and sociality creates the opportunity to re-design the way data are collected by exploiting the crowd.
Michele Girolami +3 more
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Robot location privacy protection based on Q-learning particle swarm optimization algorithm in mobile crowdsensing [PDF]
Frontiers in Neurorobotics, 2022 In the recent years, with the rapid development of science and technology, robot location-based service (RLBS) has become the main application service on mobile intelligent devices.
Dandan Ma +4 more
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Data Trustworthiness Evaluation in Mobile Crowdsensing Systems with Users’ Trust Dispositions’ Consideration [PDF]
Sensors, 2019 Mobile crowdsensing is a powerful paradigm that exploits the advanced sensing capabilities and ubiquity of smartphones in order to collect and analyze data on a scale that is impossible with fixed sensor networks.
Eva Zupančič, Borut Žalik
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Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain [PDF]
Frontiers in Neuroscience, 2020 The increasing prevalence of smart mobile devices (e.g., smartphones) enables the combined use of mobile crowdsensing (MCS) and ecological momentary assessments (EMA) in the healthcare domain.
Robin Kraft +9 more
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Horizontal Integrated Framework for Mobile Crowdsensing [PDF]
IEEE Access, 2021 Mobile crowdsensing is a promising paradigm to leverage the power of people to collect large-scale spatially distributed data. This concept has been intensely studied to efficiently and securely complete sensing tasks at lower cost.
Yu Nakayama
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Social Welfare Control in Mobile Crowdsensing Using Zero-Determinant Strategy [PDF]
Sensors, 2017 As a promising paradigm, mobile crowdsensing exerts the potential of widespread sensors embedded in mobile devices. The greedy nature of workers brings the problem of low-quality sensing data, which poses threats to the overall performance of a ...
Qin Hu +3 more
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Quality of Information in Mobile Crowdsensing: Survey and Research Challenges
ACM Transactions on Sensor Networks, 2017 Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost ubiquitous Internet connectivity and come equipped with a plethora of ...
Bhattacharjee, Shameek +4 more
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Edge Computing Architecture for Mobile Crowdsensing
IEEE Access, 2018 Mobile crowdsensing (MCS) is a human-driven Internet of Things service empowering citizens to observe the phenomena of individual, community, or even societal value by sharing sensor data about their environment while on the move.
Martina Marjanovic +2 more
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