Results 281 to 290 of about 3,854,170 (324)
Some of the next articles are maybe not open access.
A Truthful Double Auction Mechanism for Multi-Resource Allocation in Crowd Sensing Systems
IEEE Transactions on Services Computing, 2021As a novel sensing paradigm, crowd sensing systems have gained great attention and been widely adopted in the environmental monitoring and calculation areas.
Xi Liu, J. Liu
semanticscholar +1 more source
ULPT: A User-Centric Location Privacy Trading Framework for Mobile Crowd Sensing
IEEE Transactions on Mobile Computing, 2021Mobile crowd sensing (MCS) arises as a promising data collection paradigm that leverages the power of ubiquitous mobile devices to acquire rich information regarding their surrounding environment.
Wenqiang Jin +4 more
semanticscholar +1 more source
Privacy Protection Sensing Data Aggregation for Crowd Sensing
2019The emergence of the crowd sensing solves the problem that the traditional perception mode is hard to deploy on a large scale and at a high cost. However, users are exposed to the risk of privacy leakage when participating in crowd sensing. In order to solve this issue, this paper protects the user’s privacy through the dynamic group collaborative data
Yunpeng Wu +5 more
openaire +2 more sources
Enabling Crowd Sensing for Non-Experts
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2018Crowd sensing utilizes a large group of users with devices capable of sensing to collect data for analysis. The motive of crowd sensing is to generate inferences from collected data. Examples of these applications include measuring traffic congestion, bike route quality, parking spot availability, and pollution levels.
Ajay Palleri Kesavan +3 more
openaire +1 more source
Cost-Fair Task Allocation in Mobile Crowd Sensing With Probabilistic Users
IEEE Transactions on Mobile Computing, 2021Mobile crowd sensing (MCS) is a new paradigm for urban-scale monitoring. This article concentrates on the Cost-Fair Task Allocation (CFA) problem for the MCS scenario where the collaboration of multiple probabilistic mobilephone users is needed to yield ...
Guodong Sun +3 more
semanticscholar +1 more source
International Journal of Geographical Information Science, 2021
Current vehicles are equipped with a number of environmental sensors to improve safety and quality of life for passengers. Many researchers have shown that these sensors can also be exploited for opportunistic crowd-sensing.
Dario Asprone +3 more
semanticscholar +1 more source
Current vehicles are equipped with a number of environmental sensors to improve safety and quality of life for passengers. Many researchers have shown that these sensors can also be exploited for opportunistic crowd-sensing.
Dario Asprone +3 more
semanticscholar +1 more source
Accurate indoor localization with crowd sensing
2016 IEEE International Conference on Communications (ICC), 2016Indoor localization is an important primitive that can enable many ubiquitous computing applications. This paper improves the scheme of landmark and inertial navigation through crowd sensing to address reliable and accurate indoor localization. The location of landmark can calibrate the location of user and inertial navigation can optimize the location
Yingying Guo +4 more
openaire +2 more sources
Multi-Agent Reinforcement Learning for Urban Crowd Sensing with For-Hire Vehicles
IEEE Conference on Computer Communications, 2021Recently, vehicular crowd sensing (VCS) that leverages sensor-equipped urban vehicles to collect city-scale sensory data has emerged as a promising paradigm for urban sensing.
Rong Ding +4 more
semanticscholar +1 more source
Completeness Issues in Mobile Crowd-sensing Environments
Proceedings of the 16th International Conference on Web Information Systems and Technologies, 2020Mobile sensors are being widely used to monitor air quality to quantify human exposure to air pollution. These sensors are prone to malfunctions, resulting in many data quality issues, which in turn impacts the reliability of analytical studies. In this work, we address the problem of data quality evaluation in mobile crowd-sensing environments, and we
Mehanna, Souheir +2 more
openaire +3 more sources
Monitoring the status of iBeacons with crowd sensing
2017 IEEE International Conference on Communications (ICC), 2017Since Apple introduced the iBeacons in Worldwide Developers Conference (WWDC) 2013, the iBeacon has been rapidly accepted and generalized in the market. For the deployed iBeacons, it is necessary to monitor their status. In this paper, we design a crowd sensing based monitoring framework which combines the moving and static schemas of participants to ...
Yingying Guo +4 more
openaire +2 more sources