Effective truth discovery and fair reward distribution for mobile crowdsensing
نویسندگان
چکیده
منابع مشابه
Participation Management for Mobile Crowdsensing
The ubiquity of sensor-rich smartphones and other portable digital devices has propelled the research on large-scale mobile crowdsensing applications, where a large number of mobile users can be exploited to collect sensing data. Examples include include traffic monitoring, environmental monitoring, and many others. Fostering and maintaining user participation is crucial yet challenging for mob...
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Mobile crowdsensing (MCS) is a promising sensing paradigm that leverages the diverse embedded sensors in massive mobile devices. A key objective in MCS is to efficiently schedule mobile users to perform multiple sensing tasks. Prior work mainly focused on interactions between the task-layer and the user-layer, without considering tasks’ similar data requirements and users’ heterogeneous sensing...
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The Big Data era features a huge amount of data that are contributed by numerous sources and used bymany critical data-driven applications. Due to the varying reliability of sources, it is common to see conflicts among the multi-source data, making it difficult to determine which data sources to trust. Recently, truth discovery has emerged as a means of addressing this challenging issue by dete...
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An increasing number of mobile applications aim to realize “smart cities” by utilizing contributions from citizens armed with mobile devices like smartphones. However, there are few generally recognized guidelines for developing and deploying crowdsourcingbased solutions in mobile environments. This paper considers the design of a crowdsensing-based smart parking system as a specific case study...
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In order to stimulate secure sensing for Internet of Things (IoT) applications such as healthcare and traffic monitoring, mobile crowdsensing (MCS) systems have to address security threats, such as jamming, spoofing and faked sensing attacks, during both the sensing and the information exchange processes in large-scale dynamic and heterogenous networks. In this article, we investigate secure mo...
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ژورنال
عنوان ژورنال: Pervasive and Mobile Computing
سال: 2018
ISSN: 1574-1192
DOI: 10.1016/j.pmcj.2018.09.007