Results 11 to 20 of about 6,576 (183)
Joint Crowdsensing and Offloading Algorithms for Edge-Assisted Internet of Intelligent Vehicles
IEEE Access, 2023 In this paper, we aim to propose a new joint crowdsensing and offloading scheme that considers the benefits of social welfare. To induce the sensing participation, we adopt the ideas of cooperative multi-agent reinforcement learning (CMARL) to develop a ...
Sungwook Kim
doaj +1 more source
Incentivizing for Truth Discovery in Edge-assisted Large-scale Mobile Crowdsensing
Sensors, 2020 The recent development of human-carried mobile devices has promoted the great development of mobile crowdsensing systems. Most existing mobile crowdsensing systems depend on the crowdsensing service of the deep cloud.
Jia Xu +4 more
doaj +1 more source
SybilEye: Observer-Assisted Privacy-Preserving Sybil Attack Detection on Mobile Crowdsensing
Information, 2020 Mobile crowdsensing is a data collection system using widespread mobile devices with various sensors. The data processor cannot manage all mobile devices participating in mobile crowdsensing.
Junhyeok Yun, Mihui Kim
doaj +1 more source
Mobile CrowdSensing Privacy [PDF]
, 2019 Information and communication technologies have been evolving rapidly, providing more and more alternative ways of accessing information, accessible through multiple paths and devices, transforming IoT into a giant digital system. This heterogeneous diversity ecosystem allows travel to the CrowdSensing era.
Guarda, Teresa +2 more
openaire +2 more sources
Blockchain‐based reliable image copyright protection
IET Blockchain, Volume 3, Issue 4, Page 222-237, December 2023., 2023 Integrated image copyright life cycle management based on blockchain is proposed. Copyright traceability are realized via watermarking technique. GM algorithms are employed to comply with the commercial environment of China. Abstract The indiscriminate distribution of a large number of unlicensed images through the Internet seriously harms the benefits
Xiangli Xiao +5 more
wiley +1 more source
Time-Efficient Allocation Mechanisms for Crowdsensing Tasks with Precedence Constraints
Sensors, 2019 Crowdsensing has emerged as an efficient and inexpensive way to perform specialized tasks by leveraging external crowds. In some crowdsensing systems, different tasks may have different requirements, and there may be precedence constraints among them ...
Xiaocan Wu +4 more
doaj +1 more source
Groundwater Monitoring through Citizen Science: A Review of Project Designs and Results
Groundwater, Volume 61, Issue 4, Page 481-493, July/August 2023., 2023 Abstract Citizen science is increasingly prominent in the field of freshwater monitoring. Although there is a large body of literature related to surface water monitoring, less experience exists regarding citizen‐based monitoring of groundwater resources. This calls for a better understanding of the actual experiences of citizen science in the field of
Shuvojit Nath, Sabrina Kirschke
wiley +1 more source
South African Computer Journal, 2019 In recent years crowdsensing has become a hot topic amongst researchers. Crowdsensing can incentivise and empower citizens to use their mobile phones to collect and share sensed data from their surrounding environments.
Brenda Scholtz, Clara Mloza-Banda
doaj +1 more source
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