Path planning of multi-UAVs based on deep Q-network for energy-efficient data collection in UAVs-assisted IoT.
Xiumin ZhuLingling WangYumei LiShudian SongShuyue MaFeng YangLinbo ZhaiPublished in: Veh. Commun. (2022)
Keyphrases
- path planning
- energy efficient
- wireless sensor networks
- data collection
- unmanned aerial vehicles
- aerial vehicles
- sensor networks
- data gathering
- mobile robot
- multi core architecture
- dynamic environments
- path planning algorithm
- energy consumption
- optimal path
- energy efficiency
- motion planning
- data dissemination
- collision avoidance
- sensor nodes
- mobile computing
- base station
- multi robot
- dynamic and uncertain environments
- search and rescue
- data transmission
- multi hop
- obstacle avoidance
- potential field
- routing protocol
- multiple robots
- degrees of freedom
- computer networks
- peer to peer
- network structure
- data acquisition
- management system
- cloud computing
- robot path planning
- routing algorithm
- autonomous vehicles
- communication networks
- control algorithm
- multi agent systems
- social networks
- cost effective
- data analysis
- autonomous systems
- distributed databases
- wireless communication