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Jump-start crowdsensing: A three-layer incentive framework for mobile crowdsensing
2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS), 2017 In the past decade, with the rapid development of wireless communication and sensor technology, ubiquitous smartphones equipped with increasingly rich sensors have more powerful computing and sensing abilities. Thus, mobile crowdsensing has received extensive attentions from both industry and academia.
Yatong Chen 0001 +4 more
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Mobile Crowdsensing with Imagery Tasks
IEEE/WIC/ACM International Conference on Web Intelligence, 2021 The amount of gadgets connected to the internet has grown rapidly in the recent years. These human owned devices can potentially be used to gather sensor data without active involvement of their owners.
Justas Dautaras, Mihhail Matskin
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A Survey of Mobile Crowdsensing Techniques
ACM Transactions on Cyber-Physical Systems, 2018 Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT) applications. However, the sensing devices continuously generate a large amount of data, which consumes much resources (e.g., bandwidth, energy, and storage ...
Wingyan Chung +2 more
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Deep Reinforcement Scheduling for Mobile Crowdsensing in Fog Computing [PDF]
ACM Transactions on Internet Technology, 2019 application/pdfMobile crowdsensing becomes a promising technology for the emerging Internet of Things (IoT) applications in smart environments. Fog computing is enabling a new breed of IoT services, which is also a new opportunity for mobile crowdsensing.
Mianxiong Dong, Kaoru Ota, He Li
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Secure mobile crowdsensing game
2015 IEEE International Conference on Communications (ICC), 2015By recruiting sensor-equipped smartphone users to report sensing data, mobile crowdsensing (MCS) provides location-based services such as environmental monitoring. However, due to the distributed and potentially selfish nature of smartphone users, mobile crowdsensing applications are vulnerable to faked sensing attacks by users who bid a low price in ...
Liang Xiao 0003 +3 more
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Data Quality Maximization for Mobile Crowdsensing
NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, 2020With the increase of smart devices, mobile crowdsensing, in which a crowdsensing Internet of Things (IoT) platform collects data from smart devices (such as smartphone) users, has become a popular paradigm. Various incentive mechanisms are widely employed for the IoT platform to incentivize smart device users to provide sensing data.
Cheng Zhang 0007, Noriaki Kamiyama
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On the Challenges of Mobile Crowdsensing for Traffic Estimation
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017Traffic congestion adversely impacts our lives. Traffic estimation resorting to mobile (crowdsensing) probes is a challenging task. We present key challenges for accurate and real-time traffic estimation resorting to crowdsensing data, namely data sparsity, user trip diversity, population bias, data quality, among others.
Daniela Socas Gil +2 more
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Exploiting Data Reuse in Mobile Crowdsensing
2016 IEEE Global Communications Conference (GLOBECOM), 2016Mobile crowdsensing emerges as a promising sensing paradigm through leveraging the diverse embedded sensors in massive mobile devices. A key objective in mobile crowdsensing is to efficiently schedule mobile device users to perform multiple sensing tasks.
Changkun Jiang +3 more
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Incentive Mechanisms for Discretized Mobile Crowdsensings
IEEE Transactions on Wireless Communications, 2016In crowdsensing to mobile phones, each user needs incentives to participate. Mobile devices with sensing capabilities have enabled a new paradigm of mobile crowdsensing with a broad range of applications. A major challenge in achieving stable crowdsensing on a large scale is the incentive issue.
Shiyu Ji, Tingting Chen
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Toward Efficient Mechanisms for Mobile Crowdsensing
IEEE Transactions on Vehicular Technology, 2017Mobile crowdsensing systems aim to provide various novel applications by employing pervasive smartphones. A key factor to enable such systems is substantial participation of normal smartphone users, which requires effective incentive mechanisms. In this paper, we investigate incentive mechanisms for online scenarios, where users arrive and interact ...
Xinglin Zhang 0001 +4 more
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