Towards robust task assignment in mobile crowdsensing systems
Mobile Crowdsensing (MCS), which assigns outsourced sensing tasks to volunteer workers,
has become an appealing paradigm to collaboratively collect data from surrounding …
has become an appealing paradigm to collaboratively collect data from surrounding …
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 …
An infrastructure-assisted workload scheduling for computational resources exploitation in the fog-enabled vehicular network
The Vehicle-as-a-Resource is an emerging concept that allows the exploitation of the
vehicles' computational resources for the purpose of executing tasks offloaded by …
vehicles' computational resources for the purpose of executing tasks offloaded by …
Curiosity-driven energy-efficient worker scheduling in vehicular crowdsourcing: A deep reinforcement learning approach
Spatial crowdsourcing (SC) utilizes the potential of a crowd to accomplish certain location
based tasks. Although worker scheduling has been well studied recently, most existing …
based tasks. Although worker scheduling has been well studied recently, most existing …
Hierarchical multi-agent planning for flexible assembly of large-scale lunar facilities
R Xu, Y Zhao, Z Li, S Zhu, Z Liang, Y Gao - Advanced Engineering …, 2023 - Elsevier
Several national space agencies and commercial aerospace companies plan to set up lunar
bases with large-scale facilities that rely on multiple lunar robots' assembly. Mission …
bases with large-scale facilities that rely on multiple lunar robots' assembly. Mission …
Energy minimization UAV trajectory design for delay-tolerant emergency communication
The increasing cases of wireless communication networks being partly (or even fully)
destroyed after the occurrence of natural disasters has made researchers focus on the use …
destroyed after the occurrence of natural disasters has made researchers focus on the use …
Air-ground spatial crowdsourcing with uav carriers by geometric graph convolutional multi-agent deep reinforcement learning
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 …
in urban environments. Apart from using human participants, with the rapid development of …
[HTML][HTML] Coordination of drones at scale: Decentralized energy-aware swarm intelligence for spatio-temporal sensing
C Qin, E Pournaras - Transportation Research Part C: Emerging …, 2023 - Elsevier
Smart City applications, such as traffic monitoring and disaster response, often use swarms
of intelligent and cooperative drones to efficiently collect sensor data over different areas of …
of intelligent and cooperative drones to efficiently collect sensor data over different areas of …
Hybrid precoding for an adaptive interference decoding SWIPT system with full-duplex IoT devices
X Zhao, Y Zhang, S Geng, F Du… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In this article, a simultaneous wireless information and power transfer (SWIPT) system with
full-duplex (FD) Internet of Things (IoT) nodes is considered and investigated. We induce the …
full-duplex (FD) Internet of Things (IoT) nodes is considered and investigated. We induce the …
When RAN intelligent controller in O-RAN meets multi-UAV enable wireless network
Unmanned aerial vehicles (UAVs) are projected to be utilized in a variety of unexpected
applications, including agriculture, firefighting, emergency response, intelligent …
applications, including agriculture, firefighting, emergency response, intelligent …