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Power Control in Internet of Drones by Deep Reinforcement Learning
Jingjing Yao
,
Nirwan Ansari
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
17
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Scopus citations
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Dive into the research topics of 'Power Control in Internet of Drones by Deep Reinforcement Learning'. Together they form a unique fingerprint.
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Keyphrases
Deep Reinforcement Learning (deep RL)
100%
Internet of Drones
100%
Power Control
100%
Drone Networks
60%
Drone
40%
Collection Services
40%
Further Processing
20%
Internet of Things Devices
20%
Energy Cost
20%
Energy Harvesting
20%
Wireless Transmission
20%
System Energy
20%
Reinforcement Learning Algorithm
20%
Actor-critic Reinforcement Learning
20%
Energy Harvesting System
20%
Control Process
20%
Transmission Power
20%
Typical Application
20%
Battery Capacity
20%
Averaged System
20%
Traffic Surveillance
20%
Object Tracking
20%
Drone Battery
20%
Harvested Power
20%
Technology Control
20%
Traffic Objects
20%
Markov Decision Model
20%
Internet of Things Gateway
20%
Multiple Drones
20%
Computer Science
Deep Reinforcement Learning
100%
Drone
100%
Internet of Things Device
11%
Reinforcement Learning
11%
Process Model
11%
Control Process
11%
Transmission Power
11%
Markov Decision Process
11%
Collect Information
11%
Tracking Object
11%
Internet-Of-Things
11%