Results 31 to 40 of about 1,718 (250)
EURASIP Journal on Wireless Communications and Networking, 2019 Mobile crowd sensing (MCS) is a novel emerging paradigm that leverages sensor-equipped smart mobile terminals (e.g., smartphones, tablets, and intelligent wearable devices) to collect information.
Ning Zhou +3 more
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Sensors, 2019 Modelling and simulation of social interaction and networks are of high interest in multiple disciplines and fields of application ranging from fundamental social sciences to smart city management.
Stefan Bosse, Uwe Engel
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Bumbometer digital crowd game: collaboration through competition in entertainment events
Journal on Interactive Systems, 2021 The use of mobile devices, especially smartphones, is widespread across all social strata and age groups, helping to ensure faster access from anywhere, data collection, and more regular and frequent control to aid urban, environmental, and social ...
Gustavo Martins +7 more
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FedCrow: Federated-Learning-Based Data Privacy Preservation in Crowd Sensing
Applied SciencesIn the process of completing large-scale and fine-grained sensing tasks for the new generation of crowd-sensing systems, the role of analysis, reasoning, and decision making based on artificial intelligence has become indispensable. Mobile crowd sensing,
Jun Ma, Long Chen, Jian Xu, Yaoxuan Yuan
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Intelligent Systems with Applications, 2023 This paper introduces a comprehensive strategy for heterogeneously allocating tasks, aiming to optimize mobile crowd sensing through the use of fuzzy logic and thus achieving superior coverage quality.
Zohreh Vahedi +2 more
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IEEE Access, 2019 Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful approach incorporating human wisdom into mobile computations to solve problems while exploiting the advantages of mobility and context-awareness.
Jurairat Phuttharak, Seng W. Loke
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Proceedings, 2019 Augmented reality is well known for extending the real world by adding computer-generated perceptual information and overlaid sensory information. In contrast, simulation worlds are commonly closed and rely on artificial sensory information generated by ...
Stefan Bosse, Uwe Engel
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Distributed Task Offloading in Heterogeneous Vehicular Crowd Sensing
Sensors, 2016 The ability of road vehicles to efficiently execute different sensing tasks varies because of the heterogeneity in their sensing ability and trajectories.
Yazhi Liu +4 more
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A Secure Task Allocation Technology Based on Crowd Sensing Network [PDF]
Jisuanji gongcheng, 2016 Crowd sensing networks achieve large-scale sensing by using the existing sensing equipment of users as well as the deployed communication networks.Hence,it can efficiently address the critical problem of high cost of large scale network.However,during ...
TANG Yan,LIU Ruiqi,YANG Panlong,FAN Xiaochen,LI Qingyu
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Mobile Crowd Sensing for Hypertensive Patient [PDF]
, 2020 The main aim is to detect Hypertension without considering Blood Pressure or any other medical test. The proposed method mainly focuses on generating huge database which contains symptoms of Hypertensive patients. In MCS environment, another key component is providing incentive to volunteers in-order to motivate them to take part in data collection ...
Ankit Patel +2 more
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