منابع مشابه
Data-Centric Mobile Crowdsensing
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...
متن کاملParticipation 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...
متن کاملData collection for mobile crowdsensing in the presence of selfishness
Mobile crowdsensing is an emerging approach to data collection by exploiting the sensing abilities offered by smart phones and users' mobility. Data collection can be implemented by exploiting the forwarding opportunities given by the contacts between nodes. However, as cell phones are still resource constrained, most people are socially selfish so that they may not always cooperate with each o...
متن کاملSmart Parking by Mobile Crowdsensing
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...
متن کاملCrowdsensing in Opportunistic Mobile Social Networks: A Context-aware and Human-centric Approach
In recent years, there have been efforts to collect human contact traces during social events (e.g., conferences) using Bluetooth devices (e.g., mobile phones, iMotes). The results of these studies have enabled the ability to do the crowd-sourcing task from within the crowd, in order to answer questions, such as: what is the current density of the crowd, or how many people are attending the eve...
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ژورنال
عنوان ژورنال: IEEE Transactions on Mobile Computing
سال: 2018
ISSN: 1536-1233
DOI: 10.1109/tmc.2017.2763956