Efficient Trajectory Planning for Optimizing Energy
A methodology for designing trajectories with optimized energy consumption and completion time using circular paths and 3D Dubins curves in
Related Topics:
Energy Internet Completion Time
Efficient Trajectory Planning for Optimizing Energy Consumption and
A methodology for designing trajectories with optimized energy consumption and completion time using circular paths and 3D Dubins curves in UAV-assisted communication networks
Completion Time and Energy Consumption Minimization for UAV
We jointly design the flying speed, UAV altitude, and antenna beamwidth to minimize the completion time and energy consumption. For a given beamwidth, the completion time decreases monotonically
Energy Internet: Redefinition and categories
In this paper, we propose the redefinition of EI, based on a comprehensive literature review, some latest trends and driving forces in the global energy industry, as well as its
Completion Time and Energy Optimization in the UAV-Enabled Mobile
We study the joint design of computation offloading and resource allocation, as well as UAV trajectory for minimization of energy consumption and completion time of the UAV, subject to
Joint Energy and Completion Time Difference Minimization for UAV
To reduce the energy consumption and improve the fusion performance, the control center schedules the UAVs to perform the tasks in an energy-efficient manner while synchronizing the completion time
Energy-Constrained Completion Time Minimization in UAV-Enabled
We target to minimize the completion time via a joint optimization of the UAV trajectory and transmit power, while considering the indispensable constraints which cover the maximum energy budget,
Efficient Time and Energy Optimization in NOMA-Enabled Mobile
In this paper, we address the computation offloading and resource allocation problem in NOMA-MEC enabled IoT networks, aiming to minimize completion time and maximize energy efficiency while
Efficient energy and completion time for dependent task
The main contribution of the proposed algorithm can be summarized as proposing an offloading strategy for dependent tasks in Industry 4.0 taking into consideration two QoS parameters,
Energy and task completion time minimization algorithm for UAVs
This paper has presented a new UAVs-empowered MEC system, where several UAVs were deployed to serve UEs, aiming to minimize the weighted sum of energy consumption and task
Joint Optimization of Task Completion Time and Energy
In this study, we focus on a UAV-enabled MEC scenario, where multiple UAVs function as airborne edge servers, offering computation services to multiple ground-based user devices (UDs). We aim to...