Task bundling in worker‐centric mobile crowdsensing
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22497
Abstract: Most existing research about task allocation in mobile crowdsensing mainly focus on requester‐centric mobile crowdsensing (RCMCS), where the requester assigns tasks to workers to maximize his/her benefits. A worker in RCMCS might suffer benefit damage… read more here.
Keywords: mobile crowdsensing; task bundling; worker; centric mobile ... See more keywords
Mobile crowdsensing accuracy for noise mapping in smart cities
Sign Up to like & getrecommendations! Published in 2018 at "Automatika"
DOI: 10.1080/00051144.2018.1534927
Abstract: ABSTRACT This paper deals with the problem of traffic noise in urban areas in terms of noise mapping. It explains in detail the Mobile Crowdsensing (MCS) method and, furthermore, compares the results obtained with this… read more here.
Keywords: noise maps; method; crowdsensing accuracy; noise mapping ... See more keywords
User Recruitment for Optimizing Requester’s Profit in Self-Organized Mobile Crowdsensing
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2814739
Abstract: Mobile crowdsensing is a novel sensing scheme, where some mobile users utilize the equipped mobile phones to jointly participate in a sensing activity. In this paper, we focus on a self-organized mobile crowdsensing, in which… read more here.
Keywords: self organized; profit; requester profit; mobile crowdsensing ... See more keywords
Reward-Aided Sensing Task Execution in Mobile Crowdsensing Enabled by Energy Harvesting
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2839582
Abstract: Mobile crowdsensing (MCS) is a new sensing framework that empowers normal mobile devices to participate in sensing tasks. The key challenge that degrades the performance of MCS is selfish mobile users who conserve the resources… read more here.
Keywords: game; sensing task; system; stage game ... See more keywords
A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing
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DOI: 10.1109/access.2019.2902727
Abstract: With the advent of mobile crowdsensing, we now have the possibility of tapping into the sensing capabilities of smartphones carried by citizens every day for the collection of information and intelligence about cities and events.… read more here.
Keywords: quality; based approach; participants selection; mobile crowdsensing ... See more keywords
Secure mobile crowdsensing based on deep learning
Sign Up to like & getrecommendations! Published in 2018 at "China Communications"
DOI: 10.1109/cc.2018.8485464
Abstract: To improve the quality of multimedia services and stimulate secure sensing in Internet of Things applications, such as healthcare and traffic monitoring, mobile crowdsensing (MCS) systems must address security threats such as jamming, spoofing and… read more here.
Keywords: deep learning; secure mobile; mobile crowdsensing; crowdsensing based ... See more keywords
Diffusion Kalman Filter With Quantized Information Exchange in Distributed Mobile Crowdsensing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2018.2881542
Abstract: With the explosion of smart devices and the gradual maturation of mobile systems, mobile crowdsensing (MCS) is playing more and more important roles in our daily life. In traditional MCS with a centralized framework, participants… read more here.
Keywords: exchange; diffusion kalman; quantized information; information exchange ... See more keywords
Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2962545
Abstract: Mobile crowdsensing (MCS) is an attractive and innovative paradigm in which a crowd of users equipped with smart mobile devices (such as smartphones and iPads), and more recently unmanned vehicles (UVs, e.g., driverless cars and… read more here.
Keywords: energy efficient; energy; unmanned vehicles; mobile crowdsensing ... See more keywords
DeepSensing: A Novel Mobile Crowdsensing Framework With Double Deep Q-Network and Prioritized Experience Replay
Sign Up to like & getrecommendations! 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
Optimal Mobile Crowdsensing Incentive Under Sensing Inaccuracy
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DOI: 10.1109/jiot.2020.3042979
Abstract: Due to the pervasive adoption of sensor-embedded mobile devices yet increasing demand on data and computing resources, mobile crowdsensing is a promising paradigm with rapid growth. One of the most challenging issues is how to… read more here.
Keywords: incentive sensing; inaccuracy; sensing inaccuracy; optimal mobile ... See more keywords
Biobjective Robust Incentive Mechanism Design for Mobile Crowdsensing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3072953
Abstract: In recent years, mobile crowdsensing has become an effective method for large-scale data collection. Incentive mechanism is fundamentally important for mobile crowdsensing systems. Many mobile crowdsensing systems expect to optimize multiple objectives simultaneously. Most of… read more here.
Keywords: mobile crowdsensing; incentive mechanism; design; problem ... See more keywords