Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
A survey of sparse mobile crowdsensing: Developments and opportunities
Sparse mobile crowdsensing (SMCS) has emerged as a promising sensing paradigm for
urban sensing, leveraging the spatial and temporal correlation among data sensed in …
urban sensing, leveraging the spatial and temporal correlation among data sensed in …
Ddl: Empowering delivery drones with large-scale urban sensing capability
Delivery drones provide a promising sensing platform for smart cities thanks to their city-
wide infrastructure and large-scale deployment. However, due to limited battery lifetime and …
wide infrastructure and large-scale deployment. However, due to limited battery lifetime and …
[HTML][HTML] Q-learning based system for path planning with unmanned aerial vehicles swarms in obstacle environments
Path Planning methods for the autonomous control of Unmanned Aerial Vehicle (UAV)
swarms are on the rise due to the numerous advantages they bring. There are increasingly …
swarms are on the rise due to the numerous advantages they bring. There are increasingly …
Basic: Distributed task assignment with auction incentive in uav-enabled crowdsensing system
With the wide adoption of unmanned aerial vehicles (UAVs) in our daily life, using UAVs to
collect sensing data from the surrounding environment has become a practice. Notably …
collect sensing data from the surrounding environment has become a practice. Notably …
UAV-based emergency communications: An iterative two-stage multi-agent soft actor-critic approach for optimal association and dynamic deployment
Y Cao, Y Luo, H Yang, C Luo - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
This paper investigates future emergency wireless communication systems based on
multiple unmanned vehicles cooperative deployment. A terrestrial carrier vehicle with …
multiple unmanned vehicles cooperative deployment. A terrestrial carrier vehicle with …
When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
Towards Intelligent Mobile Crowdsensing With Task State Information Sharing over Edge-Assisted UAV Networks
With the rapid development of edge computing technology, edge-assisted unmanned aerial
vehicle (UAV) networks have become popular, helping with fast and cost-effective data …
vehicle (UAV) networks have become popular, helping with fast and cost-effective data …
Path planning research of a UAV base station searching for disaster victims' location information based on deep reinforcement learning
J Zhao, Z Gan, J Liang, C Wang, K Yue, W Li, Y Li, R Li - Entropy, 2022 - mdpi.com
Aiming at the path planning problem of unmanned aerial vehicle (UAV) base stations when
performing search tasks, this paper proposes a Double DQN-state splitting Q network …
performing search tasks, this paper proposes a Double DQN-state splitting Q network …
Aggregation-based dual heterogeneous task allocation in spatial crowdsourcing
X Lin, K Wei, Z Li, J Chen, T Pei - Frontiers of Computer Science, 2024 - Springer
Spatial crowdsourcing (SC) is a popular data collection paradigm for numerous applications.
With the increment of tasks and workers in SC, heterogeneity becomes an unavoidable …
With the increment of tasks and workers in SC, heterogeneity becomes an unavoidable …