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Recent advances in indoor localization via visible lights: A survey
Because of the limitations of the Global Positioning System (GPS) in indoor scenarios,
various types of indoor positioning or localization technologies have been proposed and …
various types of indoor positioning or localization technologies have been proposed and …
Enabling strong privacy preservation and accurate task allocation for mobile crowdsensing
Mobile crowdsensing engages a crowd of individuals to use their mobile devices to
cooperatively collect data about social events and phenomena for customers with common …
cooperatively collect data about social events and phenomena for customers with common …
A systematic review of mobile phone data in crime applications: a coherent taxonomy based on data types and analysis perspectives, challenges, and future research …
Digital technologies have recently become more advanced, allowing for the development of
social networking sites and applications. Despite these advancements, phone calls and text …
social networking sites and applications. Despite these advancements, phone calls and text …
Data-driven many-objective crowd worker selection for mobile crowdsourcing in industrial IoT
Z Lu, Y Wang, X Tong, C Mu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of mobile networks and intelligent equipment, as a new intelligent
data sensing paradigm in large-scale sensor applications such as the industrial Internet of …
data sensing paradigm in large-scale sensor applications such as the industrial Internet of …
Joint sensing, communication, and computation in mobile crowdsensing enabled edge networks
Mobile crowdsensing (MCS) is a promising paradigm where sensor-embedded mobile
devices are exploited for collecting and sharing environmental data. In MCS, the …
devices are exploited for collecting and sharing environmental data. In MCS, the …
A novel rumor detection with multi-objective loss functions in online social networks
COVID-19 quickly swept across the world, causing the consequent infodemic represented
by the rumors that have brought immeasurable losses to the world. It is imminent to achieve …
by the rumors that have brought immeasurable losses to the world. It is imminent to achieve …
Multi-task allocation in mobile crowd sensing with mobility prediction
J Zhang, X Zhang - IEEE Transactions on Mobile Computing, 2021 - ieeexplore.ieee.org
Mobile crowd sensing (MCS) is a popular sensing paradigm that leverages the power of
massive mobile workers to perform various location-based sensing tasks. To assign workers …
massive mobile workers to perform various location-based sensing tasks. To assign workers …
Dynamic user recruitment with truthful pricing for mobile crowdsensing
Mobile CrowdSensing (MCS) is a promising paradigm that recruits users to cooperatively
perform various sensing tasks. In most realistic scenarios, users dynamically participate in …
perform various sensing tasks. In most realistic scenarios, users dynamically participate in …
Three-stage stackelberg long-term incentive mechanism and monetization for mobile crowdsensing: An online learning approach
Recently, crowdsensing revolutionizes sensing paradigm in Internet of Things (IoTs).
However, a practical incentive mechanism which works for time-varying scenario and fairly …
However, a practical incentive mechanism which works for time-varying scenario and fairly …
L3p-dli: A lightweight positioning-privacy protection scheme with double-layer incentives for wireless crowd sensing systems
J Bai, J Gui, NN **ong, A Liu… - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
Mobile Crowd Sensing (MCS), as a promising sensing paradigm, significantly relies on
wireless communication networks and widely distributed mobile workers to capture data …
wireless communication networks and widely distributed mobile workers to capture data …