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A Privacy-Preserving Incentive Mechanism for Mobile Crowdsensing Based on Blockchain
IEEE Transactions on Dependable and Secure ComputingMobile crowdsensing (MCS) is an efficient approach for large-scale sensing data collection by leveraging the mobility and capability of mobile devices.
Fei Tong +5 more
semanticscholar +1 more source
A Survey of Mobile Crowdsensing Techniques
ACM Transactions on Cyber-Physical Systems, 2018Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT) applications. However, the sensing devices continuously generate a large amount of data, which consumes much resources (e.g., bandwidth, energy, and storage) and may sacrifice the Quality-of-Service (QoS) of applications. Prior work has demonstrated that there
Jinwei Liu +4 more
openaire +1 more source
IEEE Transactions on Vehicular Technology
With the rapid development of edge computing technology, edge-assisted unmanned aerial vehicle (UAV) networks have become popular, helping with fast and cost-effective data collection in mobile crowdsensing (MCS) environments. This paper investigates the
Liyuan Deng +5 more
semanticscholar +1 more source
With the rapid development of edge computing technology, edge-assisted unmanned aerial vehicle (UAV) networks have become popular, helping with fast and cost-effective data collection in mobile crowdsensing (MCS) environments. This paper investigates the
Liyuan Deng +5 more
semanticscholar +1 more source
2019
Recently, new paradigms like crowdsensing emerged in the context of mobile technologies that promise to support researchers in life sciences and the healthcare domain in a new way. For example, by the use of smartphones, valuable data can be quickly gathered in everyday life and then easily compared to other crowd users, especially when taking ...
openaire +1 more source
Recently, new paradigms like crowdsensing emerged in the context of mobile technologies that promise to support researchers in life sciences and the healthcare domain in a new way. For example, by the use of smartphones, valuable data can be quickly gathered in everyday life and then easily compared to other crowd users, especially when taking ...
openaire +1 more source
Group Task Recommendation in Mobile Crowdsensing: An Attention-Based Neural Collaborative Approach
IEEE Transactions on Mobile ComputingCollaborative tasks often require the cooperation of multiple individuals to be completed in mobile crowdsensing (MCS). However, previous task recommendations predominantly focused on individuals rather than groups, making them less effective for ...
Kaimin Wei +4 more
semanticscholar +1 more source
QUEST: Quality-informed Multi-agent Dispatching System for Optimal Mobile Crowdsensing
IEEE Conference on Computer CommunicationsWe address the challenges in achieving optimal Quality of Information (QoI) for non-dedicated vehicular Mobile Crowdsensing (MCS) systems, by utilizing vehicles not originally designed for sensing purposes to provide real-time data while moving around ...
Zuxin Li +6 more
semanticscholar +1 more source
Decentralized and Compressed Data Storage for Mobile Crowdsensing
IEEE Transactions on Mobile ComputingSensing data acquired with crowdsensing are generally stored at central cloud servers, since massive data are involved and sensing devices do not have enough space to store them.
Siwang Zhou +4 more
semanticscholar +1 more source
Sparse mobile crowdsensing: challenges and opportunities
IEEE Communications Magazine, 2016Sensing cost and data quality are two primary concerns in mobile crowdsensing. In this article, we propose a new crowdsensing paradigm, sparse mobile crowdsensing, which leverages the spatial and temporal correlation among the data sensed in different sub-areas to significantly reduce the required number of sensing tasks allocated, thus lowering ...
Leye Wang +5 more
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IEEE/ACM Transactions on Networking
Mobile Crowdsensing (MCS) is a sensing paradigm that enables large-scale smart city applications, such as environmental sensing and traffic monitoring. However, traditional MCS often suffers from performance degradation due to the limited spatiotemporal ...
Xianwei Guo +5 more
semanticscholar +1 more source
Mobile Crowdsensing (MCS) is a sensing paradigm that enables large-scale smart city applications, such as environmental sensing and traffic monitoring. However, traditional MCS often suffers from performance degradation due to the limited spatiotemporal ...
Xianwei Guo +5 more
semanticscholar +1 more source
Preserving privacy in mobile crowdsensing
International Journal of Sensor Networks, 2022Iftikhar Ahmad +4 more
openaire +1 more source