Results 21 to 30 of about 2,442,562 (279)
Completeness Issues in Mobile Crowd-sensing Environments
Proceedings of the 16th International Conference on Web Information Systems and Technologies, 2020 Mobile sensors are being widely used to monitor air quality to quantify human exposure to air pollution. These sensors are prone to malfunctions, resulting in many data quality issues, which in turn impacts the reliability of analytical studies. In this work, we address the problem of data quality evaluation in mobile crowd-sensing environments, and we
Mehanna, Souheir +2 more
openaire +4 more sources
Mobile Crowd Sensing for Traffic Prediction in Internet of Vehicles [PDF]
Sensors, 2016 Keliang Zhou, Jiafu Wan, Jianqi Liu
exaly +2 more sources
Enhancing security of mobile crowd sensing in unmanned aerial vehicle ecosystems
Frontiers in Communications and NetworksThe rapid expansion of mobile devices with enhanced sensing and computing capabilities has driven the growth of mobile crowd sensing (MCS), enabling applications that collect large datasets from sources like smartphones and smartwatches.
Sara Sumaidaa +3 more
exaly +3 more sources
From participatory sensing to Mobile Crowd Sensing [PDF]
2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), 2014 The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years.
Bin Guo 0001 +3 more
openaire +3 more sources
Egyptian Informatics Journal, 2022 Mobile Crowd sensing model is an emerging paradigm that requires mobile device users to perform tasks such as data aggregation and cloud computing operations and also provides significant role in several data-driven applications.
M. Arulprakash, R. Jebakumar
doaj +1 more source
A crowd sensing data collection framework based on edge computing [PDF]
ITM Web of Conferences, 2022 With the rapid increase in the use of mobile devices equipped with built-in sensors, mobile crowd sensing (MCS) as a human driven perception mode came into being.
Liu Yanjing +3 more
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Research Review of Crowd Intelligence 2.0 [PDF]
Jisuanji gongcheng, 2019 With the rapid development of Internet of Things(IoT) as well as mobile Internet and the deep drive of big data,crowd intelligence has entered the 2.0 era.This paper introduces the definition ofcrowd intelligence 2.0,and analyzes the research results of ...
ZHAO Jian, ZHANG Xinti, LI Jiaming, HE Chen
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Security analysis of mobile crowd sensing applications [PDF]
Applied Computing and Informatics, 2022 The proliferation of mobile phones with integrated sensors makes large scale sensing possible at low cost. During mobile sensing, data mostly contain sensitive information of users such as their real-time location.
Nsikak P. Owoh, M. Mahinderjit Singh
doaj +1 more source
Multi-Task Allocation in Mobile Crowd Sensing With Mobility Prediction [PDF]
IEEE Transactions on Mobile Computing, 2023 Mobile crowd sensing (MCS) is a popular sensing paradigm that leverages the power of massive mobile workers to perform various location-based sensing tasks. To assign workers with suitable tasks, recent research works investigated mobility prediction methods based on probabilistic and statistical models to estimate the worker's moving behavior, based ...
Jinyi Zhang, Xinglin Zhang 0001
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Information, 2020 Mobile crowd sensing is an innovative and promising paradigm in the construction and perception of smart cities. However, multi-task allocation in real-world scenarios is a huge challenge.
Junying Han, Zhenyu Zhang, Xiaohong Wu
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