zolars / UAV-Aided-Time-Sensitive-IoT-Networks
Model and some path schedule solutions specifically for UAV-sensorTime-sensitive Network. The code is used to evaluate the models' performance and time complexity.
☆11Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for UAV-Aided-Time-Sensitive-IoT-Networks
- An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment☆29Updated 2 years ago
- Mobile edge computing networks based on Unmanned Aerial Vehicles☆33Updated 2 years ago
- ☆17Updated 2 years ago
- Allocation of the resource blocks to the ground user for distributed UAV based cellular system with only the transfer of reward values. A…☆12Updated 2 years ago
- Welcome to our open-source project focused on revolutionizing Mobile Edge Computing (MEC) with the power of multiple Unmanned Aerial Vehi…☆23Updated last year
- JOINT RESOURCE ALLOCATION AND TRAJECTORY OPTIMIZATION FOR MULTI-UAV-ASSISTED MULTI-ACCESS MOBILE EDGE COMPUTING☆18Updated 11 months ago
- ☆41Updated 4 years ago
- Simulation and documentations of Multiple UAV TPC optimization☆40Updated 4 years ago
- ☆19Updated 2 years ago
- UVA trajectory design (DQN)☆11Updated 3 years ago
- This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV …☆20Updated last year
- UAV-based MEC to maximize user throughput via reinforcement learning☆85Updated 5 years ago
- This repository contains an implementation of a UAV-based task offloading model using the Multi-Agent Deep Deterministic Policy Gradient …☆78Updated last year
- ☆16Updated 7 months ago
- Codes for the paper "AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning"☆42Updated last year
- HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach☆10Updated last year
- This is the code of the moddpg algorithm for UAV-assisted data collection and energy harvesting.☆30Updated 3 years ago
- This is the source code using deep Q learning for calculate UAV resource allocation☆25Updated 3 years ago
- ☆21Updated 2 years ago
- Implementation of the article 'A Strategic Game for Task Offloading among Capacitated UAV-mounted Cloudlets'☆10Updated last year
- The survey of UAV-Assisted MEC system in VANET -- The task offloading and UAV trajectory planning☆7Updated 5 months ago
- Code implementation of our paper "Energy-Efficient Multi-UAV-Enabled Multiaccess Edge Computing Incorporating NOMA"☆17Updated 2 years ago
- A TD3 APPROACH IN OFFLOADING TRAFFIC FOR UAV-ASSISTED MOBILE EDGE COMPUTING☆26Updated last year
- Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".☆75Updated last year
- Use of reinforcement learning and deep reinforcement learning algorithms to optimize the UAV based cellular network for higher throughput…☆12Updated 6 months ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆88Updated 8 months ago
- Trajectory Optimization and Computing Offloading Strategy in UAV-Assisted MEC System☆112Updated 2 years ago
- UAV trajectory optimization with the average AoI and energy as the bjective functions☆24Updated 2 years ago