Deep Reinforcement Learning-Based Topology Optimization for Self-Organized Wireless Sensor Networks.
Xiangyue MengHazer InaltekinBrian S. KrongoldPublished in: GLOBECOM (2019)
Keyphrases
- wireless sensor networks
- reinforcement learning
- topology control
- small world
- optimization algorithm
- energy efficient
- function approximation
- routing algorithm
- sensor nodes
- optimization problems
- environmental monitoring
- sensor networks
- optimization methods
- multi agent
- optimization process
- learning algorithm
- data sets
- state space
- base station
- constrained optimization
- energy aware
- biological inspired
- data aggregation
- key management
- multi hop
- temporal difference
- action selection
- optimization method
- markov decision processes
- energy consumption
- supervised learning
- genetic algorithm