A comprehensive survey on mobile crowdsensing systems
Abstract In recent times, Mobile Crowdsensing (MCS) has garnered considerable attention
and emerged as a promising sensing paradigm. The MCS approach leverages the …
and emerged as a promising sensing paradigm. The MCS approach leverages the …
Ubiquitous acoustic sensing on commodity iot devices: A survey
With the proliferation of Internet-of-Things (IoT) devices, acoustic sensing attracts significant
attention in recent years. It exploits acoustic transceivers such as microphones and speakers …
attention in recent years. It exploits acoustic transceivers such as microphones and speakers …
PACE: Privacy-preserving and quality-aware incentive mechanism for mobile crowdsensing
Providing appropriate monetary rewards is an efficient way for mobile crowdsensing to
motivate the participation of task participants. However, a monetary incentive mechanism is …
motivate the participation of task participants. However, a monetary incentive mechanism is …
CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated Learning
As an emerging sensing data collection paradigm, mobile crowdsensing (MCS) enjoys good
scalability and low deployment cost but raises privacy concerns. In this paper, we propose a …
scalability and low deployment cost but raises privacy concerns. In this paper, we propose a …
Autofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving
Object detection with on-board sensors (eg, lidar, radar, and camera) is crucial to
autonomous driving (AD), and these sensors complement each other in modalities. While …
autonomous driving (AD), and these sensors complement each other in modalities. While …
An incentive mechanism for privacy-preserving crowdsensing via deep reinforcement learning
With the rise of the Internet of Things (IoT), the number of mobile devices with sensing and
computing capabilities increases dramatically, paving the way toward an emerging …
computing capabilities increases dramatically, paving the way toward an emerging …
Incentive mechanism for multiple cooperative tasks with compatible users in mobile crowd sensing via online communities
Mobile crowd sensing emerges as a new paradigm which takes advantage of the pervasive
sensor-embedded smartphones to collect data. Many incentive mechanisms for mobile …
sensor-embedded smartphones to collect data. Many incentive mechanisms for mobile …
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 …
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 …
On the data quality in privacy-preserving mobile crowdsensing systems with untruthful reporting
The proliferation of mobile smart devices with ever improving sensing capacities means that
human-centric Mobile Crowdsensing Systems (MCSs) can economically provide a large …
human-centric Mobile Crowdsensing Systems (MCSs) can economically provide a large …