Articles with "crowd sensing" as a keyword



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Designing Energy Efficient Strategies Using Markov Decision Process for Crowd-Sensing Applications

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Published in 2020 at "Mobile Networks and Applications"

DOI: 10.1007/s11036-020-01522-6

Abstract: In mobile crowd-sensing, smartphone users take part in sensing and then share the data to the server (cloud) and get an incentive. These data can be utilized for providing better services to improve quality of… read more here.

Keywords: crowd; energy; markov decision; decision process ... See more keywords
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A Survey on Task and Participant Matching in Mobile Crowd Sensing

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Published in 2018 at "Journal of Computer Science and Technology"

DOI: 10.1007/s11390-018-1855-y

Abstract: Mobile crowd sensing is an innovative paradigm which leverages the crowd, i.e., a large group of people with their mobile devices, to sense various information in the physical world. With the help of sensed information,… read more here.

Keywords: mobile crowd; participant matching; task participant; crowd sensing ... See more keywords
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Statistical-Based Data Quality Model for Mobile Crowd Sensing Systems

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Published in 2018 at "Arabian Journal for Science and Engineering"

DOI: 10.1007/s13369-018-3374-0

Abstract: Quality of information is an emerging issue in the mobile crowd sensing (MCS). MCS is an essential computing paradigm that tasks everyday mobile devices to form crowd sensing networks. Nowadays, there is an increasing demand… read more here.

Keywords: quality; mobile crowd; data quality; sensory data ... See more keywords
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Mobile crowd sensing of human-like intelligence using social sensors: A survey

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.01.127

Abstract: Abstract Recently, with the fast proliferation of smart phones, mobile phone has the powerful ability of not only communication but also computation. Human beings are not only data consumers, but data producer with their objective… read more here.

Keywords: mobile crowd; survey; sensor; social sensors ... See more keywords
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A crowd sensing system identifying geotopics and community interests from user-generated content

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Published in 2019 at "International Journal of Geographical Information Science"

DOI: 10.1080/13658816.2019.1591413

Abstract: ABSTRACT This paper presents a crowd sensing system (CSS) that captures geospatial social media topics and allows the review of results. Using Web-resources derived from social media platforms, the CSS uses a spatially-situated social network… read more here.

Keywords: community interests; sensing system; geotopics community; user generated ... See more keywords
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Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things

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Published in 2017 at "IEEE Access"

DOI: 10.1109/access.2017.2762238

Abstract: In mobile crowd-sensing systems, the value of crowd-sensed big data can be increased by incentivizing the users appropriately. Since data acquisition is participatory, crowd-sensing systems face the challenge of data trustworthiness and truthfulness assurance in… read more here.

Keywords: big data; methodology; mobile crowd; sensing systems ... See more keywords
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MCGR-PB: A Multi-Player Cooperative Game Based Routing for Performance Balancing in Crowd Sensing Networks

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2879639

Abstract: Mobile crowd-sensing network is a kind of networks that take advantage of pervasive mobile devices to efficiently collect data and enable the completion of large-scale and complicated sensing tasks through the wide participation of mobile… read more here.

Keywords: multi player; game; performance balancing; performance ... See more keywords
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Ensuring Honest Data Collection Against Collusive CSDF Attack With Binary-Minmaxs Clustering Analysis in Mobile Crowd Sensing

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2938771

Abstract: Mobile crowd sensing (MCS) is considered as a powerful paradigm which takes advantage of the pervasive sensor-embedded smartphones to collect data. However, MCS assumes all workers always are trusted, and thus offering opportunities for malicious… read more here.

Keywords: crowd sensing; data collection; csdf attack; collusive csdf ... See more keywords
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Cryptanalysis and Improvement of an Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2953042

Abstract: As an emerging application of smart healthcare, mobile healthcare crowd sensing (MHCS) has become a research hotspot. However, how to ensure the confidentiality and integrity of data and protect the privacy of user is still… read more here.

Keywords: healthcare crowd; mobile healthcare; scheme; batch verification ... See more keywords
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A Biometrics-Based Behavioral Trust Framework for Continuous Mobile Crowd Sensing Recruitment

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3186011

Abstract: The emergence of mobile crowd sensing (MCS) platforms makes it possible to collect data in a time and cost efficient manner. However, one of the challenges in MCS systems is obtaining reliable information especially in… read more here.

Keywords: biometrics based; mobile crowd; crowd sensing; recruitment ... See more keywords
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A Utility-Based Subcontract Method for Sensing Task in Mobile Crowd Sensing

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Published in 2022 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2021.3071771

Abstract: In mobile crowd sensing, the mobile terminal integrates a variety of widely distributed sensing devices and communication ports. Sensing devices and communication ports can collect and share all kinds of perception data. However, inherent contradictions… read more here.

Keywords: sensing task; task; mobile crowd; crowd sensing ... See more keywords