Game Theory-Based Parameter Tuning for Energy-Efficient Path Planning on Modern UAVs.
Diksha MoolchandaniKishore YadavGeesara KulathungaIlya AfanasyevAnshul KumarManuel MazzaraSmruti SarangiPublished in: ACM Trans. Cyber Phys. Syst. (2022)
Keyphrases
- energy efficient
- parameter tuning
- game theory
- path planning
- unmanned aerial vehicles
- aerial vehicles
- wireless sensor networks
- mobile robot
- game theoretic
- energy consumption
- sensor networks
- dynamic environments
- path planning algorithm
- collision avoidance
- multi agent systems
- cooperative
- obstacle avoidance
- nash equilibrium
- resource allocation
- parameter settings
- motion planning
- base station
- multi robot
- routing algorithm
- nash equilibria
- machine learning
- energy efficiency
- routing protocol
- optimal path
- data transmission
- genetic programming
- autonomous vehicles
- fictitious play
- real time
- sensor nodes
- evolutionary algorithm
- reinforcement learning
- genetic algorithm