naiksrinu / UAV_DataSet_NetworkCommunicationLinks
UAV Network Communication Experimental dataset is a collection of network traffic captured from a wireless network used by unmanned aerial vehicles (UAVs) during a simulated search and rescue mission. The dataset includes both legitimate network traffic and traffic generated by WiFi and GPS attacks.
☆29Updated 2 years ago
Alternatives and similar repositories for UAV_DataSet_NetworkCommunication
Users that are interested in UAV_DataSet_NetworkCommunication are comparing it to the libraries listed below
Sorting:
- NS3-3.27 implementation code for the proposal of the paper entitled "Adaptive Hello Interval in FANET Routing Protocols for Green UAVs"☆50Updated 5 years ago
- A simulation of the ad-hoc on-demand distance vector (AODV) routing protocal for wireless networks in MATLAB.☆56Updated 3 years ago
- [ICCAIS 2022] Deployment of UAVs for Optimal Multihop Ad-hoc Networks Using Particle Swarm Optimization and Behavior-based Control☆64Updated 2 years ago
- ☆14Updated 3 years ago
- Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".☆114Updated 2 years ago
- AlirezaShamsoshoara / Multi-Independent-Agent-Reinforcement-Learning-UAV-Autonomous-Spectrum-QLearningAn Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent…☆74Updated 5 years ago
- This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV …☆49Updated 2 years ago
- Multi-Agent Reinforcement learning for Satellite scheduling，基于stk11的多智能体强化学习卫星调度实验☆58Updated last year
- ☆37Updated 9 months ago
- UAV-based MEC to maximize user throughput via reinforcement learning☆107Updated 7 years ago
- Resource allocation for underlay DSA Cognitive Radio networks using reinforcement learning (Q-Learning))☆89Updated 7 years ago
- UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management☆43Updated 2 years ago
- Need i say more? GNN-DRL routing inspired by https://ieeexplore.ieee.org/document/9680855 and built from work done here https://github.co…☆33Updated last year
- IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces☆159Updated 2 years ago
- Model and some path schedule solutions specifically for UAV-sensorTime-sensitive Network. The code is used to evaluate the models' perfor…☆16Updated 5 years ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆141Updated last year
- QMR implementation using DroNet☆15Updated last year
- ☆106Updated 9 months ago
- The Python code for simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning☆71Updated 5 years ago
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆49Updated 2 months ago
- alter-yxw / Anti-jamming-Channel-Allocation-in-UAV-enabled-Edge-Computing-A-Stackelberg-Game-Approachsource code of the paper "Anti-jamming Channel Allocation in UAV-enabled Edge Computing: A Stackelberg Game Approach" published in MSN 20…☆46Updated 2 years ago
- Energy Efficient Data Collection in UAV Enabled Wireless Sensor Network in matlab☆81Updated 6 years ago
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆47Updated last year
- ☆40Updated 2 months ago
- Game Theory Based Distributed Resource Allocation in Communication Networks☆28Updated 5 years ago
- JCAS☆19Updated 3 years ago
- Codes for the paper "AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning"☆78Updated 2 years ago
- Simulator developed for the mobility management of UAV base stations project featuring A3C☆16Updated 5 years ago
- Deep Reinforcement Learning tool that places Unmanned Aerial Vehicles☆17Updated 3 years ago
- ☆64Updated 5 years ago