Results 31 to 40 of about 1,414,604 (271)
A bibliometric and scientometric review of research on crowdsourcing in smart cities
IET Smart Cities, Volume 5, Issue 1, Page 1-18, March 2023., 2023 This study applies bibliometric and scientometric research methods and the research tools to study 367 related publications retrieved from the Web of Science database. Keyword co‐occurrence analysis was conducted to find the distribution of publications, research cooperation, and major research areas.
Youtao Jiang +5 more
wiley +1 more source
Differential Private Data Collection and Analysis Based on Randomized Multiple Dummies for Untrusted Mobile Crowdsensing [PDF]
, 2017 Mobile crowdsensing, which collects environmental information from mobile phone users, is growing in popularity. These data can be used by companies for marketing surveys or decision making.
Akihiko Ohsuga, Yuichi Sei
core +2 more sources
PSI‐CA‐Based Vehicle Selection Scheme for Data Sharing in Internet of Vehicles
Security and Communication Networks, Volume 2023, Issue 1, 2023., 2023 In recent years, the development of the Internet of Vehicles (IoV) has led to an increase in the demand for data sharing services for the IoV. In the era of big data, safe and convenient data sharing services for IoV are inseparable from the support of reliable data.
Zhengtao Jiang +5 more
wiley +1 more source
An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
IEEE Access, 2019 With the widespread use of smartphones and the continuous increase of their capabilities, a new sensing paradigm has emerged: mobile crowdsensing. The concept of crowdsensing implies the reliance on the crowd to perform sensing tasks and collect data ...
Sawsan Abdul Rahman +2 more
doaj +1 more source
Towards Efficient Federated Learning Using Agile Aggregation in Internet of Vehicles
Security and Communication Networks, Volume 2023, Issue 1, 2023., 2023 Federated learning is an enabling technology for the services in Internet of vehicles because it can effectively alleviate privacy issues in data circulation and diversified intelligent applications. However, existing federated learning methods still confront the problem of low computational efficiency when applied to the scenario of high‐dynamic ...
Xin He +6 more
wiley +1 more source
Efficient Opportunistic Sensing using Mobile Collaborative Platform MOSDEN [PDF]
, 2013 Mobile devices are rapidly becoming the primary computing device in people's lives. Application delivery platforms like Google Play, Apple App Store have transformed mobile phones into intelligent computing devices by the means of applications that can ...
Georgakopoulos, Dimitrios +3 more
core +3 more sources
Near-Optimal User Recruitment in Mobile Crowdsensing for Urban Fine-Grained Event Detection
IEEE Access, 2020 Thanks to the popularization of mobile smart devices equipped with various sensors like smartphones, the concept of mobile crowdsensing has come forth as a promising data collecting paradigm.
Tong Liu +3 more
doaj +1 more source
Mobile Crowdsensing in Software Defined Opportunistic Networks [PDF]
, 2017 Mobile crowdsensing is a new paradigm that sharing sensing data collected by mobile devices such as smartphones and tablets. As mobile devices are usually connected by an opportunistic network for data transferring, it is hard to acknowledge the ...
DONG Mianxiong +3 more
core +2 more sources
In-network Collaborative Mobile Crowdsensing [PDF]
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020 Our work aims to make opportunistic crowdsensing a reliable means of detecting urban phenomena, as a component of smart city development. We believe that the optimal method for achieving this is by enforcing the cost-effective collection of high quality data. We then investigate a supporting middleware solution that reduces both the network traffic and
Yifan Du +2 more
openaire +2 more sources
An Efficient Target Tracking Approach Through Mobile Crowdsensing
IEEE Access, 2019 As the widespread of mobile devices in recent years, mobile crowdsensing (MCS) has become a powerful mechanism to produce knowledge by collecting the individual contributed sensor data.
Dongming Luan +5 more
doaj +1 more source