A secure and intelligent data sharing scheme for UAV-assisted disaster rescue
Unmanned aerial vehicles (UAVs) have the potential to establish flexible and reliable
emergency networks in disaster sites when terrestrial communication infrastructures go …
emergency networks in disaster sites when terrestrial communication infrastructures go …
Computation offloading in blockchain-enabled MCS systems: A scalable deep reinforcement learning approach
Abstract In Mobile Crowdsensing (MCS) systems, cloud service providers (CSPs) pay for
and analyze the sensing data collected by mobile devices (MDs) to enhance the Quality-of …
and analyze the sensing data collected by mobile devices (MDs) to enhance the Quality-of …
Distredge: Speeding up convolutional neural network inference on distributed edge devices
As the number of edge devices with computing resources (eg, embedded GPUs, mobile
phones, and laptops) in-creases, recent studies demonstrate that it can be beneficial to col …
phones, and laptops) in-creases, recent studies demonstrate that it can be beneficial to col …
P2SIM: Privacy-Preserving and Source-Reliable Incentive Mechanism for Mobile Crowdsensing
In mobile crowdsensing (MCS), providing appropriate rewards is a common and efficient
way to motivate participants to participate in sensing tasks. However, the privacy of task …
way to motivate participants to participate in sensing tasks. However, the privacy of task …
Verifiable, reliable, and privacy-preserving data aggregation in fog-assisted mobile crowdsensing
Fog-assisted mobile crowdsensing (FA-MCS) alleviates challenges with respect to
computation, communication, and storage from the traditional model of mobile crowdsensing …
computation, communication, and storage from the traditional model of mobile crowdsensing …
PRICE: Privacy and reliability-aware real-time incentive system for crowdsensing
Crowdsensing is regarded as a critical component of the Internet of Things (IoT) and has
been widely applied in smart city services. Incentive mechanism design, data reliability …
been widely applied in smart city services. Incentive mechanism design, data reliability …
Using truth detection to incentivize workers in mobile crowdsourcing
Mobile crowdsourcing platforms often want to incentivize workers to finish tasks with high
quality and truthfully report their solutions by providing proper rewards. Most existing …
quality and truthfully report their solutions by providing proper rewards. Most existing …
A privacy-enhanced multiarea task allocation strategy for healthcare 4.0
The continuous development of Healthcare 4.0 has brought great convenience to people.
Through the Internet of Things technology, doctors can analyze patients' health data and …
Through the Internet of Things technology, doctors can analyze patients' health data and …
Trends for mobile IoT crowdsourcing privacy and security in the big data era
S Sodagari - IEEE Transactions on Technology and Society, 2022 - ieeexplore.ieee.org
From tracking pandemics to applications, such as Google Maps, Uber, environmental
monitoring, journalism, healthcare, crisis/disaster response, air quality control, noise and …
monitoring, journalism, healthcare, crisis/disaster response, air quality control, noise and …
IronM: Privacy-preserving reliability estimation of heterogeneous data for mobile crowdsensing
A reliable mobile crowdsensing (MCS) application usually relies on sufficient participants
and trustworthy data. However, privacy concerns reduce participants' willingness to …
and trustworthy data. However, privacy concerns reduce participants' willingness to …