Federated learning in smart city sensing: Challenges and opportunities
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey
With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …
Blockchain-enabled intelligent transportation systems: a distributed crowdsensing framework
Intelligent Transportation System (ITS) is critical to cope with traffic events, eg, traffic jams
and accidents, and provide services for personal traveling. However, existing researches …
and accidents, and provide services for personal traveling. However, existing researches …
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 survey of differential privacy-based techniques and their applicability to location-based services
The widespread use of mobile devices such as smartphones, tablets, and smartwatches has
led users to constantly generate various location data during their daily activities …
led users to constantly generate various location data during their daily activities …
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 …
Location privacy-preserving task recommendation with geometric range query in mobile crowdsensing
In mobile crowdsensing, location-based task recommendation requires each data requester
to submit a task-related geometric range to crowdsensing service providers such that they …
to submit a task-related geometric range to crowdsensing service providers such that they …
Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing
JJ Ji, YN Guo, XZ Gao, DW Gong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing
systems normally select the optimal participants giving no consideration to the sudden …
systems normally select the optimal participants giving no consideration to the sudden …
A decentralized location privacy-preserving spatial crowdsourcing for internet of vehicles
J Zhang, F Yang, Z Ma, Z Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of Internet of Vehicles (IoV), vehicle-based spatial
crowdsourcing (SC) applications have been proposed and widely applied to various fields …
crowdsourcing (SC) applications have been proposed and widely applied to various fields …
An efficient hybrid signcryption scheme with conditional privacy-preservation for heterogeneous vehicular communication in VANETs
Vehicular ad hoc networks (VANETs) ensure improvement in road safety and traffic
management by allowing the vehicles and infrastructure that are connected to them to …
management by allowing the vehicles and infrastructure that are connected to them to …