Articles with "sensing tasks" as a keyword



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Cost-Minimized Crowdsourced Spectrum Sensing

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2949202

Abstract: Cooperative spectrum sensing which enhances the sensing accuracy is an important research issue for cognitive radio networks, especially in complicated environment. Considering the extensive use of mobile intelligent terminals such as smart phones and tablets,… read more here.

Keywords: mobile terminals; sensing tasks; cost; crowdsourced spectrum ... See more keywords
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A Quality Aware Multiunit Double Auction Framework for IoT-Based Mobile Crowdsensing in Strategic Setting

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3186095

Abstract: Crowdsourcing with the intelligent agents carrying smart devices is becoming increasingly popular in recent years. It has opened up meeting an extensive list of real-life applications such as measuring air pollution levels, road traffic information,… read more here.

Keywords: quality; iot devices; task; sensing tasks ... See more keywords
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DeepSensing: A Novel Mobile Crowdsensing Framework With Double Deep Q-Network and Prioritized Experience Replay

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Published in 2020 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2020.3022611

Abstract: Mobile crowdsensing (MCS) is a new and promising paradigm of data collection due to the growing number of mobile smart devices. It can be utilized in applications of large-scale sensing by employing a group of… read more here.

Keywords: tasks mobile; sensing tasks; double deep; mobile users ... See more keywords
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Towards Demand-Driven Dynamic Incentive for Mobile Crowdsensing Systems

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Published in 2020 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2020.2988271

Abstract: Incentive mechanisms have been commonly proposed to encourage people to participate in mobile crowdsensing (MCS). However, most of them set unchangeable rewards for sensing tasks, while the inherent inequality and on-demand feature of sensing tasks… read more here.

Keywords: sensing tasks; mobile crowdsensing; dynamic incentive; driven dynamic ... See more keywords