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On scheduling of real-time sensing tasks in mobile crowd sensing
2015 IEEE Wireless Communications and Networking Conference (WCNC), 2015In the area of Wireless Local Area Network (WLAN) based indoor localization, the Received Signal Strength (RSS) fingerprinting based localization technique has been studied extensively. Site survey phase in RSS fingerprinting is always considered to be time-consuming and labor intensive.
Mu Zhou +5 more
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QoS-constrained sensing task assignment for mobile crowd sensing
2014 IEEE Global Communications Conference, 2014The ubiquitous sensing-capable mobile devices have been fuelling the new paradigm of Mobile Crowd Sensing (MCS) to collect data about their surrounding environment. To ensure the timeliness and quality of the data samples in MCS, it is critical to select qualified participants to maintain sensing coverage ratios over important spatial areas (i.e ...
Zhijie Wang 0002 +5 more
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Blockchain-Based Mobile Crowd Sensing in Industrial Systems
IEEE Transactions on Industrial Informatics, 2020The smart factory is a representative element reshaping conventional computer-aided industry to data-driven smart industry, while it is nontrivial to achieve cost effectiveness, reliability, mobility, and scalability of smart industrial systems. Data-driven industrial systems mainly rely on sensory data collected from statically deployed sensors ...
Junqin Huang +7 more
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Mobile Crowd Sensing for Internet of Things: A Credible Crowdsourcing Model in Mobile-Sense Service
2015 IEEE International Conference on Multimedia Big Data, 2015Various types of micro-sensors in smart communication devices can measure a significant amount of potentially useful information. Mobile Crowd Sensing (MCS) between users with smart mobile devices is a new trend of development in Internet of Things.
Jian An +4 more
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Building Human-Machine Intelligence in Mobile Crowd Sensing
IT Professional, 2015Mobile crowd sensing and computing (MCSC) is a large-scale sensing and collective knowledge discovery paradigm that fuses human and machine intelligence. This article describes the content of human and machine intelligence, their complementary roles, and their potential collaboration modes in MCSC.
Bin Guo 0001 +4 more
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Frugal Online Incentive Mechanisms for Mobile Crowd Sensing
IEEE Transactions on Vehicular Technology, 2017Mobile crowd sensing has emerged as a novel data collection paradigm by leveraging pervasive mobile sensing devices to enable various applications. To obtain good quality of service, incentive mechanisms are indispensable for attracting enough users. Most of the existing mechanisms focus on the offline scenario in which all users submit profiles in ...
Dong Zhao 0001 +2 more
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Privacy-aware incentive mechanism for mobile crowd sensing
2017 IEEE International Conference on Communications (ICC), 2017Mobile crowd sensing is an emerging sensing paradigm where sensing applications buy sensor data from mobile smartphone users (workers) instead of deploying their own sensor networks to estimate some statistics of a spatial event. In many spatial monitoring applications, the crowdsourcer needs to incentivize smartphone users to contribute sensing data ...
Jing Yang Koh +4 more
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Human dynamics of mobile crowd sensing experimental datasets
2017 IEEE International Conference on Communications (ICC), 2017Some recent research projects, inspired by the widespread availability of sensor-provided smartphones, have built harvesting experiments to collect large quantities of data in urban areas. These efforts produced new real-world datasets, typically focusing on different technological aspects (GPS and Bluetooth mobility traces or WiFi indicators) and ...
Paolo Bellavista +4 more
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Collaborative Task Allocation in Mobile Crowd Sensing
2022 8th International Conference on Big Data Computing and Communications (BigCom), 2022Juanjuan Du +3 more
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Vehicular networking for mobile crowd sensing
Ad Hoc Networks, 2016Barbara M. Masini +4 more
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