Game theory in mobile crowdsensing: A comprehensive survey

VS Dasari, B Kantarci, M Pouryazdan, L Foschini… - Sensors, 2020 - mdpi.com
Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …

A comprehensive survey on mobile crowdsensing systems

D Suhag, V Jha - Journal of Systems Architecture, 2023 - Elsevier
Abstract In recent times, Mobile Crowdsensing (MCS) has garnered considerable attention
and emerged as a promising sensing paradigm. The MCS approach leverages the …

Personalized privacy-preserving task allocation for mobile crowdsensing

Z Wang, J Hu, R Lv, J Wei, Q Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Location information of workers are usually required for optimal task allocation in mobile
crowdsensing, which however raises severe concerns of location privacy leakage. Although …

Privacy-preserving crowd-sourced statistical data publishing with an untrusted server

Z Wang, X Pang, Y Chen, H Shao… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The continuous publication of aggregate statistics over crowd-sourced data to the public has
enabled many data mining applications (eg, real-time traffic analysis). Existing systems …

An effective service-oriented networking management architecture for 5G-enabled internet of things

M Huang, A Liu, NN Xiong, T Wang, AV Vasilakos - Computer networks, 2020 - Elsevier
The development of a 5G-enabled Internet of Things has led to a dramatic increase in
network traffic load, which has presented tremendous challenges to network management …

Mobile crowdsensing: A survey on privacy-preservation, task management, assignment models, and incentives mechanisms

F Khan, AU Rehman, J Zheng, MA Jan… - Future Generation …, 2019 - Elsevier
Mobile crowdsensing is a useful technique to collect detailed information from mobile
devices of the participants. The participants need to participate to sense and transmit …

Towards privacy-driven truthful incentives for mobile crowdsensing under untrusted platform

Z Wang, J Li, J Hu, J Ren, Q Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Reverse auction-based incentive mechanisms have been commonly proposed to stimulate
mobile users to participate in crowdsensing, where users submit bids to the platform to …

Towards personalized task-oriented worker recruitment in mobile crowdsensing

Z Wang, J Zhao, J Hu, T Zhu, Q Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Worker recruitment in mobile crowdsensing systems aims to recruit the most suitable users
to perform tasks with high quality and in real-time. Many worker recruitment or task matching …

Dynamic compressive wide-band spectrum sensing based on channel energy reconstruction in cognitive internet of things

Z Li, B Chang, S Wang, A Liu, F Zeng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
For wireless networks in the Internet of Things (IoT), cognitive radio (CR) is a promising way
to obtain the available spectrum for objects. Wide-band spectrum sensing plays an important …

Towards privacy-preserving incentive for mobile crowdsensing under an untrusted platform

Z Wang, J Li, J Hu, J Ren, Z Li… - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
Reverse auction-based incentive mechanisms have been commonly proposed to stimulate
mobile users to participate in crowdsensing, where users submit bids to the platform to …