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
doaj +4 more sources
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
doaj +4 more sources
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
doaj +4 more sources
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
doaj +2 more sources
Cheating-Resilient Incentive Scheme for Mobile Crowdsensing Systems [PDF]
, 2017 Mobile Crowdsensing is a promising paradigm for ubiquitous sensing, which explores the tremendous data collected by mobile smart devices with prominent spatial-temporal coverage.
Li, Xin +5 more
core +2 more sources
Data-Centric Mobile Crowdsensing [PDF]
IEEE Transactions on Mobile Computing, 2017 Mobile crowdsensing (MCS) is a promising sensing paradigm that leverages the diverse embedded sensors in massive mobile devices. A key objective in MCS is to efficiently schedule mobile users to perform multiple sensing tasks. Prior work mainly focused on interactions between the task-layer and the user-layer, without considering tasks' similar data ...
Changkun Jiang +3 more
openalex +4 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
PARS: Privacy-Aware Reward System for Mobile Crowdsensing Systems. [PDF]
Sensors (Basel), 2021 Zhang Z, Yum DH, Shin M.
europepmc +3 more sources