Cross-chain-based trustworthy node identity governance in internet of things

T **e, K Gai, L Zhu, Y Guo… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
As a flourishing technical adoption boosted by 5G technology in recent years, Internet of
Things (IoT) has become a common implementation in contemporary network-based …

Multi-stage complex task assignment in spatial crowdsourcing

Z Liu, K Li, X Zhou, N Zhu, Y Gao, K Li - Information Sciences, 2022 - Elsevier
With the widespread application of smart devices, spatial crowdsourcing (SC) has been
extensively integrated into daily life. Task assignment is a crucial issue in SC and has …

Task allocation with geographic partition in spatial crowdsourcing

G Ye, Y Zhao, X Chen, K Zheng - Proceedings of the 30th ACM …, 2021 - dl.acm.org
Recent years have witnessed a revolution in Spatial Crowdsourcing (SC), in which people
with mobile connectivity can perform spatio-temporal tasks that involve travel to specified …

Ropriv: Road network-aware privacy-preserving framework in spatial crowdsourcing

M Wang, H Jiang, P Zhao, J Li, J Liu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Spatial Crowdsourcing (SC) has been an indispensable Location-based Service where the
SC server assigns tasks to workers based on the locations of task requesters and workers …

Gcrl: Efficient delivery area assignment for last-mile logistics with group-based cooperative reinforcement learning

H Wang, S Wang, Y Yang… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Last-mile logistics is the final step of the delivery process from a transit station to customers.
In last-mile logistics systems, a city is divided into many delivery areas for couriers to finish …

Task assignment with worker churn prediction in spatial crowdsourcing

Z Wang, Y Zhao, X Chen, K Zheng - Proceedings of the 30th ACM …, 2021 - dl.acm.org
The pervasiveness of GPS-enabled devices and wireless communication technologies
flourish the market of Spatial Crowdsourcing (SC), which consists of location-based tasks …

Air-ground spatial crowdsourcing with UAV carriers by geometric graph convolutional multi-agent deep reinforcement learning

Y Wang, J Wu, X Hua, CH Liu, G Li… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Spatial Crowdsourcing (SC) has been proved as an effective paradigm for data acquisition
in urban environments. Apart from using human participants, with the rapid development of …

Efficient adaptive matching for real-time city express delivery

Y Li, Q Wu, X Huang, J Xu, W Gao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
City express delivery services (aka last-mile delivery) have become more prominent in
recent years. Many logistics giants, such as Amazon, JD, and Cainiao, have deployed …

Energy-efficient 3D vehicular crowdsourcing for disaster response by distributed deep reinforcement learning

H Wang, CH Liu, Z Dai, J Tang, G Wang - Proceedings of the 27th ACM …, 2021 - dl.acm.org
Fast and efficient access to environmental and life data is key to the successful disaster
response. Vehicular crowdsourcing (VC) by a group of unmanned vehicles (UVs) like …

An online fairness-aware task planning approach for spatial crowdsourcing

J Zhang, T Jiang, X Gao, G Chen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Spatial crowdsourcing, a human-centric paradigm for performing spatial tasks, has drawn
rising attention. Task assignment and worker scheduling are basic issues in spatial …