Results 21 to 30 of about 3,854,170 (324)
Privacy preserving IoT-based crowd-sensing network with comparable homomorphic encryption and its application in combating COVID19. [PDF]
Internet Things (Amst), 2022 IoT-based crowd-sensing network, which aims to achieve data collection and task allocation to mobile users, become more and more popular in recent years.
Huang D +4 more
europepmc +2 more sources
Incentive Mechanism with Task Bundling for Mobile Crowd Sensing
ACM Transactions on Sensor Networks, 2023 Mobile crowd sensing (MCS) has become a powerful sensing paradigm that allows requesters to outsource sensing tasks to a crowd of mobile users. Aware of the paramount importance of incentivizing participation for MCS, researchers have proposed various ...
Xinglin Zhang, Yi-Fan Zhang
exaly +2 more sources
Distributed Task Offloading in Heterogeneous Vehicular Crowd Sensing [PDF]
Sensors, 2016 The ability of road vehicles to efficiently execute different sensing tasks varies because of the heterogeneity in their sensing ability and trajectories.
Yazhi Liu +4 more
doaj +2 more sources
Crowd Sensing Systems: A Mini Review [PDF]
International Journal of Trend in Scientific Research and Development, 2018 The main purpose of crowd sensing systems is to extract information based on the crowd in environment. . This paper briefly explains each type of sensors that were widely used in real life situations. Each type of sensors is covered from basic understanding, tools, method of algorithm, their finding, way of conducting test, and results.
W. A. F. W. Othman +3 more
openaire +2 more sources
Transparent and Privacy-Preserving Mobile Crowd-Sensing System with Truth Discovery [PDF]
SensorsThe proliferation of numerous portable mobile devices has made mobile crowd-sensing (MCS) systems a promising new trend. Traditional MCS systems typically outsource sensing tasks to the data aggregator (e.g., cloud server).
Ruijuan Jia +3 more
doaj +2 more sources
A linkable signature scheme supporting batch verification for privacy protection in crowd-sensing
Digital Communications and Networks, 2023 The maturity of 5G technology has enabled crowd-sensing services to collect multimedia data over wireless network, so it has promoted the applications of crowd-sensing services in different fields, but also brings more privacy security challenges, the ...
Xu Li +3 more
doaj +2 more sources
Maximizing Coverage Quality with Budget Constrained in Mobile Crowd-Sensing Network for Environmental Monitoring Applications [PDF]
Sensors, 2019 The Mobile Crowd-sensing Network is a novel cyber−physical−social network which has received great attention recently and can be used as a powerful tool to monitor the phenomenon of the field of interest.
Jiaoyan Chen, Jingsen Yang
doaj +2 more sources
BcDKM: Blockchain-Based Dynamic Key Management Scheme for Crowd Sensing in Vehicular Sensor Networks [PDF]
SensorsVehicular sensor networks (VSNs) consist of vehicles equipped with various sensing devices, such as LiDAR. In a VSN, vehicles and/or roadside units (RSUs) can be organized into a vehicular cloud (VC) to enable the sharing of sensing and computational ...
Mingrui Zhang, Ru Meng, Lei Zhang
doaj +2 more sources
APISENSE: Crowd-Sensing Made Easy.
ERCIM News, 2013 The rapid emergence of mobile devices, such as TabletPC and smartphones, equipped with a rich array of sensors, enables a new means of acquiring sensor data, known as crowd-sensing. Crowd-sensing is currently receiving a lot of attention, not only from industry but also from various research communities interested in collecting a new class of data over
Haderer, Nicolas +3 more
core +4 more sources
Quantifying sensing quality of crowd sensing networks with confidence interval
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2017 Quantifying sensing quality is fundamentally important for crowd sensing networks. Existing works which focus on quantifying the sensing quality of individual user are not applicable for that of the overall crowd sensing networks. However, it is nontrivial to quantify the sensing quality of crowd sensing networks for two main challenges.
Chaocan Xiang +3 more
openaire +2 more sources