PEAR: A privacy-enabled architecture for crowdsensing
, 2017 © 2017 Association for Computing Machinery. Crowdsensing systems are providing solutions to the community in areas such as transportation, security, entertainment and the environment by citizens who use their consumer devices such as cellphones ...
Perez, Alfredo J., Zeadally, Sherali
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UAV-Assisted Cluster-Based Task Allocation for Mobile Crowdsensing in a Space-Air-Ground-Sea Integrated Network. [PDF]
Sensors (Basel), 2023 Liu Y, Li Y, Cheng W, Wang W, Yang J.
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Multidimensional context-aware social network architecture for mobile crowdsensing
, 2014 This article proposes a multidimensional context-aware social network architecture, which aims to provide a mobile ecosystem to enable context awareness in the development and utilization of mobile crowdsensing applications.
Ngai, Edith C.-H., +6 more
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GEOmedia, 2015 GEOmedia interview the project leader SmartRoadSense (SRS) Alessandro Bogliolo. SmartRoadSense (SRS) is the crowdsensing to monitor the road surface. Research synergies from geomatics to mapping, from sensors to statistics.
Domenico Santarsiero
doaj
Robot location privacy protection based on Q-learning particle swarm optimization algorithm in mobile crowdsensing. [PDF]
Front Neurorobot, 2022 Ma D, Kong D, Chen X, Zhang L, Yuan M.
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A platform for building context-aware mobile crowdsensing applications in vehicular social networks
, 2016 In the past few years, many research works have demonstrated that mobile crowdsensing could be effectively applied in vehicular social networks (VSNs) to serve many purposes and bring huge economic benefits in transportation. In this thesis, we provide a
Hu, Xiping
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Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing. [PDF]
Sensors (Basel), 2023 Bruns R +3 more
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Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach
The transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progress in Chatbots and Large Language Models (LLMs). Therefore, the advancement
Zhu, Zhengqiu +8 more
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Preference-Matched Multitask Assignment for Group Socialization under Mobile Crowdsensing. [PDF]
Sensors (Basel), 2023 Zhang M, Chen S, Wei Z, Wu Y.
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A crowdsensing intrusion detection dataset for decentralized federated learning models. [PDF]
Sci DataFeng C +8 more
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